Cost-effectiveness analysis of alternative colon cancer screening strategies in the context of the French national screening program

Abstract

Background:

A nationwide colorectal cancer (CRC) screening program was set up in France from 2009 for average-risk, asymptomatic people aged 50–74 years based on an immunochemical fecal occult blood test [faecal immunochemical test (FIT)] every 2 years, followed by colonoscopy if positive. The European standard recommends a participation rate of 45% for the program to be cost-effective, yet the latest published rate in France was 34%. The objective of this study was to compare the cost effectiveness of screening alternatives taking real-world participation rates into account.

Methods:

Eight screening strategies were compared, based either on a screening test (Guaiac or FIT testing, blood-based, stool DNA, computed tomography colonography, colon capsules, and sigmoidoscopy) followed by full colonoscopy if positive or direct colonoscopy. A microsimulation model was used to estimate the cost effectiveness associated with each strategy.

Results:

Compared with no screening, FIT was associated with a 14.0 quality-adjusted life year (QALY) increase of €50,520 per 1000 individuals, giving an incremental cost-effectiveness ratio (ICER) of €3600/QALY. Only stool DNA and blood-based testing were associated with a QALY increase compared with FIT, with stool DNA weakly dominated by blood-based testing, and the latter associated with an ICER of €154,600/QALY compared with FIT. All other strategies were dominated by FIT.

Conclusion:

FIT every 2 years appears to be the most cost-effective CRC screening strategy when taking into account a real-world participation rate of 34%.

Keywords

colorectal cancer cost-effectiveness screening FIT

Key summary

FIT is generally considered as the most cost-effective alternative in colon cancer screening programs in international studies.

Current French colon cancer screening programs for average risk individuals is based on FIT, but with a participation rate of only 34% below the 45% recommended threshold, cost effectiveness is unknown.

FIT, at a 34% participation rates, is also the most cost-effective alternative in the French context.

FIT appears to be cost-effective regardless of participation rates.

Introduction

Colorectal cancer (CRC) is the third most common cancer and the second most deadly in France. The projected incidence of CRC was 23,535 cases for men and 19,533 cases for women in France for 2015.¹ The projected mortality for 2015 was 9337 men and 8496 women.¹

Adenocarcinoma accounts for more than 95% of CRCs.² These usually develop from an adenomatous lesion that can form a polyp or plane lesion. The risk of adenoma transforming into cancer depends on its size and histopathological characteristics. The duration of this ‘adenoma—carcinoma sequence’ is, on average, 10–15 years.³ The main risk factors for CRC are age greater than 50 years, inflammatory bowel diseases (IBD), a personal or family history of adenoma or CRC, genetic predisposition, excessive consumption of red meat or alcoholic beverages, smoking and obesity.

Given the existence of precancerous lesions, and the better survival of adenocarcinomas diagnosed at an early stage,⁴ CRC screening can have associated public health benefits. These benefits were confirmed by a Cochrane meta-analysis in which four randomised clinical trials demonstrated a relative risk reduction in CRC mortality of 16% [95% confidence interval (CI): 10–22%] based on faecal occult blood testing with the Hemoccult II® test (gFOBT).⁵

A nationwide CRC screening program was set up in France from 2009. The current CRC screening program is for average risk, asymptomatic people aged 50–74 years. Average risk is defined in the program as any individual aged 50–74 years with no personal or familial history of CRC. Familial history was defined as at least one first-degree relative with CRC under 65 years, or two or more first-degree relatives with CRC. The program was initially based on gFOBT. This test was replaced in 2015 by the OC-Sensor® immunoassay. This fecal immunochemical test (FIT) is more sensitive, more reliable and easier to use than gFOBT. Eligible individual aged 50–74 received a mail invitation every 2 years from the national health insurance to perform CRC screening. Individuals must visit their general practitioner (GP), who will screen the individuals from exclusion criteria (in particular personal or familial history of CRC, bowel inflammatory diseases), provide a FIT kit and give an explanation on how to use the test. The kit includes a prestamped letter for the individuals to send back the FIT test after use. Individuals with a positive occult blood test are referred for a full colonoscopy to screen for cancer or adenomas.⁶

Individuals at high risk (familial history of CRC or IBD) or very high risk [familial polyposis (FAP) or Lynch syndrome] are subject to specific opportunistic individual screening recommendations, and are therefore not included in the current nationwide screening program.

The European standard recommends a participation rate of 45% for the program to be cost-effective.⁷ This rate is based on the lower bound of the participation rates in the FOBT clinical trial and is thus considered the minimum acceptable uptake for which there is evidence that screening is effective. The participation published for the latest screening period (2016–2017) showed a rate of 34%, lower than the current 45% objectives.⁸ Given the modest sensitivity of a single FIT, this has raised some concern that, at the current participation rate, a strategy based on FIT might not be the most cost-effective alternative.

Previous studies in the French and international contexts have suggested that FIT is a more cost-effective alternative in screening programs.^9–14 Annual or biannual FIT has been shown to cost-saving or very cost-effective compared with colonoscopy every 10 years, with higher participation rates (42% versus 22% for colonoscopy). However, these studies were not based on the real-world screening uptake from a national screening program, and usually did not include all current screening alternatives in particular newer tests including blood-based screening (mSEPT9), or multitarget stool DNA testing, computed tomography colonography (CTC) and second-generation colon capsules.¹⁵

The objective of this work is to compare the cost effectiveness of screening alternatives currently available for average-risk individuals.

Methods

Eight screening strategies were compared with no screening. Seven strategies included a screening test followed by a full colonoscopy when the test was positive – the final strategy being based on full colonoscopy only. Screening tests included faecal occult blood testing based either on the Hemocult® II or OC-Sensor®, blood-based screening based on the mSEPT9 marker,¹⁶ or Multitarget Stool DNA Testing every 2 years.¹⁵ They also included CTC, second-generation colon capsules or sigmoidoscopy every 10 years.

Results were obtained for a population based on the French population entering the CRC screening program that included individuals aged 50 years (50% men) with no prior history of screening, and no familial history of CRC, IBD, FAP or Lynch syndrome.

Cost and effectiveness of the screening strategies were obtained using a microsimulation model constructed and validated to the French context.

Model structure

The model simulates the natural history of CRC in a cohort of 5,000,000 individuals from birth to death.

The natural history is based on the development of adenomas in the colon and the adenoma-carcinoma sequence (Figure 1). Simulated individuals may have no, one or more adenomas during their lifetime. The number of adenomas depended on the individual’s baseline risk and the incidence of adenomas by age and sex. Each adenoma is associated with a localisation in the colon based on French CRC incidence data.¹⁷ All adenomas initially appear ⩽5 mm and are associated with a probability of developing into CRC. The probability varied stochastically between individuals. It depended on the age at adenoma onset and the sex of the individual. The incidence of adenomas by age and sex, and the mean probability of progression were estimated by calibrating the model. Model calibration was based on adenoma prevalence data in the autopsy series and on CRC incidence in France.^18–20 Adenomas that will develop into CRC progress from adenocarcinoma in situ to the metastatic stage if not diagnosed clinically at an earlier stage. The probability of being diagnosed clinically for each stage has been calibrated on the distribution of clinical stages in the French incident population.²⁰ Finally, CRC is associated with a cancer-specific mortality that depends on the clinical stage at diagnosis and is based on the observed survival data in France.^21,22 The adenoma dwell time and the preclinical sojourn time varied stochastically by individuals and was based on the parameters and assumptions used in the MISCAN model.^18,23 The model also takes into account mortality from causes other than CRC, based on French mortality rates and causes of death. Table 1 shows all the parameters used in the simulation.

Figure 1.

Natural history of development of adenomas in the colon and the adenoma-carcinoma sequence.

Table 1.

Parameters.

Parameter	Value	Source
Natural History
Incidence of adenomas	Based on age and sex	Calibrated
Location of adenomas in the colon	Proximal: 19.4% Distal: 80.6%	National Data on CRC Epidemiology¹⁷
Likelihood of an adenoma progressing to CRC	Based on age at onset and sex	Calibrated
Time of progression of adenoma to preclinical CRC	Average of 15 years (exponential distribution)	Based on MISCAN publication¹⁸
Time of progression from preclinical to clinical CRC	Average of 6.7 years (exponential distribution)	Based on MISCAN publication²³
Distribution of stages at diagnosis	I: 17% II: 31% III: 22% IV: 30%	National Epidemiological Study¹⁷
Stage I net survival at age <75 years and excluding right colon	Year 1: 98% Year 5: 96% Year 10: 95%	Estimated from a National Epidemiological Study on Cancer Survival¹⁷
Relative risk of death at 5 years by stage, age at diagnosis and location	Stage I: Ref, II: 2.8, III: 8.4, IV: 30.3 Age >75 years: 1.3 Right Colon: 1.2	Faivre-Finn et al., 2002²¹
Screening
OR of participating	Female: 0.9 Age 55 59 1.32 60 64 1.58 65 69 1.75 70 74 1.95	Pornet et al., 2010³¹
Probability of participating	45%	Calibrated on participation rank observed in the 2012–2013 national screening campaign
OR of reparticipating	Female: 1.43 Age 55 59 1.59 60 64 1.95 65 69 2.17 70 74 1.89	Pornet et al., 2014³²
Utilities
CRC	I: 0.74 II: 0.74 III: 0.67 IV: 0.25	Ness et al., 1999²⁶
Severe complications	0.128	Andersson et al., 2013²⁷
Costs (€)
Invitation to the program per individual	1	Based on national screening program data
gFOBT^*	12.14	National Health Insurance
FIT^*	14.34	National Health Insurance
Stool DNA test^*	236.88	Based on Ladabaum and Mannalithara, 201633
Blood-based test	125.13	Based on Ladabaum and Mannalithara, 201633 andNational Health Insurance
Colonoscopy	Without adenoma removal 806.44With adenoma removal 1191.6	National Health Insurance
Sigmoidoscopy	96.34	National Health Insurance
CTC	95.41	National Health Insurance
Colon capsule	510.24	National Health Insurance
Bleeding	1241.09	DRG Cost
Perforation	2810.20	DRG Cost
Retention	1241.09	DRG Cost
Other severe complications	6621.47	DRG Cost
CRC related-cost	Year 1, by stageI 13,062.00II 16,815.88III 23,609.35IV 28,173.74Subsequent yearsI 0.00II 578.76III 812.57IV 969.67	IRDES, 2006⁴⁵ National disease cost study

Including distribution cost.

AA, advanced adenoma; CRC, colon cancer; CTC, computed tomography colonography; FIT, faecal occult blood testing with immunoassay; gFOBT, gaiac-based faecal occult blood testing; OR, odds ratio; Se, sensitivity; Sp, specificity.

CRC screening strategies

Screening strategies were compared based on the observed participation rate of 29.1% in France. This rate was applied to the target population, that is, individuals aged 50–74, and does not include criteria excluding individuals from the national screening program. These mainly included individuals at higher risk, previous positive screening and history of colon adenoma. These exclusions are estimated to account for 13.2% of the target population in France. Thus, the observed participation rate used in the model (29.1%) translates to 33.6% of the eligible population after taking exclusion criteria into account. This participation rate was used for stool testing.⁸ For blood-based screening, it was assumed that participation could be as high as 65%, as seen in France with PSA-based prostate cancer screening. A similar participation of 25% was assumed for colon capsule, colonoscopy and sigmoidoscopy.³⁰ It was assumed that CTC would have a similar participation rate to stool testing.

In the model, all individuals began screening at 50, stopping at age 74. The probability of participation at each screening cycle was varied stochastically between individuals based on previous participation, age and sex,^8,31,32 in order to better capture real-world participation structure. Individuals with a positive screening test (excluding the colonoscopy-only strategy) were referred for follow-up colonoscopy. It was assumed, based on data from the French screening program that 11.1% were lost to follow up and did not undergo colonoscopy.⁸ If negative, individuals did not undergo screening for the next 5 years for stool- and blood-based tests, or 10 years for the other tests, based on the current French program guidelines. Individuals with adenomas that were detected and removed were assumed to undergo colonoscopy monitoring as per French guidelines. Patients with low-risk polyps (fewer than three polyps found, no polyp larger than 10 mm and only low-grade dysplasia) are recommended to undergo a new colonoscopy after 5 years. Patients with high-risk polyps are recommended to undergo a new colonoscopy after 3 years. Patients with only low-grade initially and no polyps on the follow-up colonoscopy can delay the third colonoscopy by an additional 5 years (i.e. 10 years) and stop if the third colonoscopy is negative. Assumptions were made for the grade distribution for adenomas <10 mm.³⁴ It was assumed that monitoring continued until the diagnosis of CRC or 80 years. Compliance with the recommended follow up and monitoring was set to 31% based on data for high-risk patients in France.

Test characteristics

Test characteristics were based on literature review and are detailed in Table 2. For stool-based tests, we assumed that adenomas smaller than 10 mm were not detectable as true positives given that sensitivity and specificity are reported for advanced adenomas and CRC only.^15,35 A threshold of 30 µgHb/ml was used for the OC-Censor® test, as this is the threshold currently used in the French context. The study by Hoi et al., comparing the performance of different thresholds for OC-Censor®, was used to extrapolate the specificity and sensitivity of OC-Censor® at that threshold.³⁶ Similarly, for blood-based tests, we assumed that only CRC was detectable.¹⁶ For colonoscopy, colon capsule, CTC and sigmoidoscopy, sensitivity depended on the size of the adenoma,^24,28,37,38 with only colonoscopy and sigmoidoscopy able to detect adenomas smaller than 5 mm. It was assumed that sigmoidoscopy would have the same performance as colonoscopy but could detect only distal lesions. Patients undergoing colon capsule, CTC and colonoscopy were assumed to be at risk of serious complications (Table 2).^25,39 Adverse events resulting from colonoscopy, colon capsule and CTC were included in the model. Rates were different if colonoscopy was associated with a polypectomy. Rates of complications ranged from 1% for bleeding association with polypectomy to 3‰ for retention with CTC (Table 2).^25,39–41 Complications were associated with additional costs and disutilities.

Table 2.

Test performances.

Test
gFOBT	Se: CRC 45.0% AA: 13.0%Sp: 97.8%	Hirai et al., 201646Launois et al., 201447
FIT	Se: CRC 75.0% AA: 30.0%Sp: 96.6%	Robertson 2017³⁴ adjusted with Hol et al., 200948
Stool DNA	Se: CRC 92.3% AA: 42.4%Sp: 86.6%	Imperiale et al., 201415
Blood-based	Se: CRC 66.0%Sp: 91.0%	Yan 2016¹⁶
Colonoscopy	Se: CRC: 95% >6 mm: 90% ⩽6 mm: 45%Sp: 95%	HAS 2010⁶
CTC	Se: CRC: 84% >10 mm: 76% ⩽6 mm: 44%Sp: 89%	HAS 2010⁶ and Weinberg 2018²⁸
Colon capsule	Se: CRC: 87% >10 mm: 86% ⩽6 mm: 87%Sp: 92%	HAS 2010⁶ and Spada, 2016²⁴
Sigmoidoscopy	Equal to colonoscopy for distal lesions only	Assumptions
Severe Complications
Colonoscopy	No resectionBleeding: 0.06%Perforation: 0.04%Others: 0.04%ResectionBleeding: 0.98%Perforation: 0.08%Others: 0.10%	Denis 2013³⁸ Reumkens 2016²⁵
Colon capsule	Retention: 0.03%	ESGE 2018³⁹
CTC	Perforation: 0.04%	Bellini 2014⁴⁰

Cost and utilities

Table 1 details the cost and utilities used in this study. The cost-effectiveness analysis included only direct medical cost valued from the societal perspective. Screening tests were based on current costs of the national screening program, prices published by national health insurance or assumptions for tests not currently marketed in France. The costs of complications were based on the relevant diagnosis-related group codes. CRC-related costs were based on French cost of illness studies that estimated the overall cost of CRC related-care (both inpatient, including chemotherapy sessions, and outpatient care) by cancer stage, differentiating the first and subsequent years of care.⁴⁹ Fixed costs related to the screening program were not included as they were assumed to be similar across all screening strategies. CRC health status was associated with poorer utilities based on the literature.²⁶ Serious complications were associated with disutilities.²⁷

Validation

The model results were compared with observed results of the national screening program with FIT and gFOBT for previous years. The model faithfully reproduces the positivity rates by sex and the positive predictive value of a positive FIT and gFOBT for advanced adenomas and CRC (supplemental file).

Cost-effectiveness analysis

Incremental cost-effectiveness ratios (ICERs) were calculated for quality-adjusted life-years (QALYs). Costs and QALYs were discounted because the cost and the benefits of screening incur at different times.²⁹ We chose a 4% per year, according to French guidelines for cost-effectiveness studies.⁴² A willingness-to-pay threshold of €40,000/QALY was used.

The robustness of the model was tested using deterministic sensitivity analysis (DSA) and probabilistic sensitivity analysis (PSA). In DSA, results are produced by changing each parameter’s value for the lower and upper bound of its 95% confidence intervals (or at ±20% of the baseline value when the confidence intervals were not available). In PSA, results are produced by a bootstrap process. Each iteration is based on changing the values of all parameters for a value randomly drawn within their 95% confidence intervals (or at ±20%). PSA results are based on the average of 500 iterations. Parameters’ uncertainty and distribution are presented in the supplemental material. In addition, a scenario was tested with a theoretical participation rate of 100% for all scenarios for comparative purposes across the test technologies.

Results

In the French context, compared with FIT, every strategy, excluding gFOBT, was associated with a reduction in the cumulated lifetime incidence of CRC (from 50 to death) between 0.2% for CTC to 6.0% for stool DNA testing. However, only two strategies, i.e. stool DNA testing (7.0%) and blood-based testing (15.6%), were associated with a reduction in CRC-related mortality (Table 3).

Table 3.

Results.

Undiscounted results	FIT (Ref/1000 individuals)	gFOBT	Fecal DNA	Blood-based	Colonoscopy	Sigmoidoscopy	CTC	Colon capsule
CRC Incidence	44.22	+4.7%	−6.0%	+0.1%	−4.5%	−3.2%	−0.2%	−1.2%
CRC-related death	19.35	+8.4%	−7.0%	−15.6%	+2.9%	+4.3%	+6.7%	+6.5%
Adenomas <10 mm Screened	5.77	−36.6%	+215.3%	+371.8%	+401.3%	+255.7%	+20.9%	+18.6%
Adenomas ⩾10 mm Screened	21.34	−48.5%	+22.4%	−97.3%	−38.4%	−44.6%	−37.2%	−46.3%
CRC Screened	2.77	−28.0%	+5.4%	+161.7%	−73.0%	−76.8%	−69.4%	−76.2%
Screened Test undergone	2277	+1.2%	−5.7%	+149.2%	–	−80.2%	−75.3%	−80.1%
Colonoscopy Undergone	113	−36.6%	+199.0%	+345.5%	+354.6%	−5.5%	+16.7%	+14.3%
Undiscounted CRC-Related Cost (k€)	1018.72	+5.6%	−6.3%	−3.2%	−3.1%	−1.6%	+1.2%	+0.4%
Undiscounted Screening Cost (k€)	172.49	−26.7%	+394.0%	+589.8%	+178.2%	−11.9%	+11.6%	+115.5%
Undiscounted total cost (k€)	1191.21	+0.9%	+51.7%	+82.6%	+23.2%	−3.1%	+2.7%	+17.1%

CRC, Colon Cancer; CTC, Computed Tomography Colonography; FIT, fecal occult blood testing with immunoassay; gFOBT, gaiac-based fecal occult blood testing.

The other strategies were associated with a decrease in advanced adenoma and CRC detection compared with FIT. The apparent discrepancy with incidence results were related to the fact that CTC, colon capsule, colonoscopy and sigmoidoscopy were all associated with a significant increase in the detection of adenomas <10 mm (between 155.8% and 371.0%). This increase led to more patients leaving the screening program and undergoing colonoscopy monitoring every 3–5 years.

Furthermore, with the exception of sigmoidoscopy and gFOBT, all strategies were associated with an increase in the rate of severe adverse event related to the screening or treatment of adenomas compared with FIT. The increase was up to 340% for colonoscopy, 325% for blood-based testing and 195% for stool DNA testing (supplemental material) and were related mainly to the increase of colonoscopy performed either because of poor sensitivity or due to detection of small adenomas.

Only stool DNA testing was associated with an increase in the number of advanced lesions detected with screening compared with FIT (20.4%), including a 22.4% increase in advanced adenoma detection and a 5.4% increase in CRC. Blood-based testing was associated with an increase in CRC detection only (161.7%)

The FIT strategy was associated with an average of 2.28 FIT tests per individual between 50 and 74 years. On average, individuals underwent 0.11 colonoscopies, including screening confirmation and colonoscopy monitoring. CTC, colon capsule, and sigmoidoscopy were associated with a reduced number of screening tests performed due to the lower participation rate, and a longer interval between screening cycles with between 0.56 and 0.45 tests per individual. The associated number of colonoscopies varied between 0.11 and 0.13 – roughly similar to FIT.

Compared with FIT, at a similar participation rate, stool DNA testing was associated with a 199.0% increase in colonoscopy. Blood-based testing was associated with 5.68 tests per individual on average, in line with its increase in participation with 0.50 colonoscopies.

The FIT strategy was associated with an average undiscounted cost of screening of €172 per individual between 50 and 74 years (Table 4), or €14 per screening cycle. The average undiscounted CRC-related cost with the FIT strategy was €1018 per individual. With the exception of gFOBT and sigmoidoscopy, every strategy was associated with an increase in screening cost from 11.6% (CTC) to 589.8% (blood-based testing). Colonoscopy only was associated with an increase of 178.2%. Due to the associated reduced incidence, most strategies were associated with a reduction in CRC-related cost that was not sufficient to offset the increase in screening cost. Overall, only the sigmoidoscopy strategy was associated with a lower total undiscounted cost compared with FIT.

Table 4.

Cost-effectiveness results.

Real-world participation rates
CE results (versus no screening)	FIT	gFOBT	Fecal DNA	Blood-based	Colonoscopy	Sigmoidoscopy	CTC	Colon capsule
QALY (/1000)	14.0	7.3	14.1	16.9	9.8	8.7	7.2	8.2
Discounted Cost (€)	50.52	44.05	335.73	498.92	197.53	40.62	67.4	152.61
ICER (€/QALY)	3609	Dominated	Weakly Dominated	154,621	Dominated	Weakly Dominated	Dominated	Dominated
Theoretical 100% participation rates
CE results (versus no screening)	Blood-based	gFOBT	CTC	FIT	Colon capsule	Fecal DNA	Sigmoidoscopy	Colonoscopy
QALY (/1000)	18.6	21.8	30.8	31.1	33.2	38	38.1	42.2
Discounted Cost (€)	623.41	101.58	235.26	118.7	671.64	1002.32	167.4	860.84
ICER (€/QALY)	Dominated	Weakly Dominated	Dominated	3817	Dominated	Dominated	6957	169,132

CRC, Colon Cancer; CTC, Computed Tomography Colonography; FIT, fecal occult blood testing with immunoassay; gFOBT, gaiac-based fecal occult blood testing; ICER, incremental cost-effectiveness ratio; QALY, quality-adjusted life year.

For discounted QALY and cost, compared with no screening, FIT was associated with an increase of 14.0 QALY for a €50,520 per 1000 individuals, or an ICER of €3600/QALY. Only stool DNA and blood-based testing were associated with an increase in QALY compared with FIT with 0.10 QALY and 2.90 QALY per 1000 individuals, respectively. Thus, as most strategies were associated with higher discounted costs, only stool DNA and blood-based testing were not strongly dominated by the FIT strategy. However, stool DNA testing was weakly dominated by blood-based testing. The ICER associated with blood-based testing was €154,600/QALY.

Sensitivity analysis

Sensitivity analysis results are shown in Figure 2. DSA results show that the parameters most affecting the ICER of FIT are specificity (ICER of €10,500/QALY with the lower bound of FIT specificity of 91.2%), sensitivity (ICER of €1800/QALY with the higher bound of FIT sensitivity of 78.8%). For all other parameters, the ICER remained in the €3000/QALY–€5000/QALY range.

Figure 2.

Sensitivity analysis results. (A) Parameters most affecting the ICER of FIT assessed by DSA. (B) PSA of cost-effectiveness versus willingness-to-pay threshold.

PSA shows the probability of a given scenario to be the most cost effective at varying willingness to pay threshold when taking into account parameters uncertainty. It confirms the robustness of the results, with FIT being the most cost-effective alternatives for a willingness-to-pay threshold between €4000/QALY and €75,000/QALY.

When considering a participation rate of 100% for all scenarios, FIT remained a very cost-effective alternative with an ICER under €4000/QALY. Sigmoidoscopy went for being weakly dominated to being associated with an ICER of €7000/QALY and was the second most effective screening strategy. Colonoscopy became the most effective strategy, with a 25% increase in QALY gains compared with FIT but was associated with an ICER of €170,000/QALY because of the high cost of the procedure. All other strategies were dominated by sigmoidoscopy (Table 4).

Discussion

In the French context, given the current participation rate of 29.1%, the current screening strategy based on FIT (30 µg/ml) every 2 years between 50 and 74 years appears to be the most cost-effective alternative, dominating most of the other strategies. Looking only at gFOBT, FIT and colonoscopy, these results are in line with results reported from previous publications that showed that biannual FIT was more cost-effective that gFOBT, and that FIT was either cost-saving or very cost-effective compared with colonoscopy every 10 years.^9–14 However, these results extend these conclusions to show that FIT is also more cost-effective than newer alternatives including CTC, 2nd generation colon capsule, stool DNA or blood-based when considering a willingness to pay threshold of €40,000/QALY.

In addition, the ICER of €4000/QALY associated with FIT versus no screening, suggests, despite European and French guidelines, that screening is cost-effective even at participation rates under 45%.

In this analysis, strategies based on colonoscopy, CTC, colon capsule, and sigmoidoscopy every 10 years are associated with lower QALY, despite being associated with a reduction in the incidence. This seemingly counterintuitive result is likely due to two factors. First, they tend to screen fewer patients as they are undergone at longer intervals with a lower participation rate, greatly reducing the potential effectiveness of the screening strategy. Second, they compensate by having increased sensitivity compared with FIT and being able to detect small adenomas leading to more individuals with adenomas being referred for follow up by colonoscopy; hence, the reduction in CRC incidence. However, this leads to a very different impact of screening from stool-based strategies. The results show that, overall, colonoscopy, CTC, colon capsule, and sigmoidoscopy tend to identify patients earlier in the adenoma-carcinoma sequence, with 4 times as many adenomas <10 mm diagnosed. This leads to a large number of patients with a history of adenoma being followed up at 3- to 5-year intervals. However, they tend to identify fewer adenomas ⩾10 mm or CRCs, as their prevalence is lower in the population, limiting the impact of cancer-screening stage-shift and thus ultimately in respect of CRC mortality and QALY.^43–45 It is important to note that this conclusion is based on low participation rates, and that the conclusion is different with perfect participation. Indeed, with 100% participation, colonoscopy and sigmoidoscopy are the most effective alternatives because of their high sensitivity, and sigmoidoscopy becomes a cost-effective strategy.

In addition, the increase in colonoscopies and the higher cost of the tests leads to an increase in screening costs of up to 4-fold. Thus, these strategies were either dominated or associated with ICER over €150,000/QALY, and thus considered to be inefficient. Importantly, this increase in costs reflects only the cost of performing the screening tests and does not take into account the significant infrastructure investments that would be needed. Indeed, currently available colonoscopy resources would be insufficient for the large increase in colonoscopies needed. Large investment in colonoscopes and training would be required, increasing the overall cost differences compared with FIT.

The analysis also included the newer stool-DNA testing that is associated with higher sensitivity than FIT at the cost of lower specificity. This test appears to be promising as it was the only alternative associated with a reduction in the CRC incidence and prevalence compared with FIT. However, this reduction was associated with a 3-fold increase in colonoscopies performed and thus serious adverse events, in part because of the increase in the number of false positives. This would place a significant burden on the healthcare system and increase the morbidity of colonoscopy-related adverse events. Similarly, blood-based testing (mSEPT9 marker) was also associated with an ICER of over €150,000. Surprisingly, despite not being able to detect adenomas, it was not associated with an increase in incidence. Indeed, low specificity combined with high participation rate led to a very large number of patients undergoing colonoscopy (7-fold increase), which would be incompatible with current French healthcare system capacity.

Both blood-based and stool-DNA testing are characterized by high sensitivity and low specificity. Although, high sensitivity is often considered a desirable attribute of a test, it might not be the case for CRC screening in the general population. First, the low prevalence leads to a low positive predictive value when the specificity is low. It means that most individuals who test positive will not have adenomas or CRC, which leads to mostly unnecessary colonoscopy. Second, the slow progression of adenomas means that screening can be based on multiple rounds without significantly reducing its efficacy. Sensitivity increases exponentially with each additional round even though sensitivity for each round is low. Thus, in this context, a high specificity test with a good sensitivity might be more desirable than a high sensitivity test. Blood-based and stool-DNA testing might be more suited to context where both the prevalence is high and risk of interval cancer is high, such as in high-risk individuals.

The sensitivity analysis for FIT showed that specificity is a key parameter for the ICER, and improvement in specificity, as well as a reduction in cost would be required for the stool-DNA testing being associated with a lower ICER.

These results were obtained using a simulation model based on previously published assumptions.¹⁸ Moreover, the model has been calibrated and validated on French epidemiological data. This reinforces confidence in its validity.

The main limitations are related to the uncertainty around the performance parameters of the different tests although the sensitivity analyses carried out, taking this uncertainty into account, show results that are consistent with the reference analysis. This is especially true for stool DNA and blood testing that have only limited evidence and have never been evaluated in large-scale screening programs. They were, nevertheless, included to provide some insights into their potential role if their performances were to be confirmed.

Furthermore, the model does not include serrated adenomas in the natural history of the disease, due to the lack of data on natural history, epidemiology and test performance for these lesions. Serrated adenomas could represent 15–20% of CRC.⁵⁰ The impact of not including serrated adenomas is difficult to assess in the absence of data; additional studies are necessary. The weight of serrated adenomas in interval cancers,^{26,39,50–54} and their more difficult detection with colonoscopy,^20,28,54,55 may suggest that their inclusion in the model would decrease the effectiveness of the colonoscopy-based strategy. Similarly, several studies suggest that FIT would have reduced performance for these lesions.^5,19,56,57

Finally, the results are sensitive to the choice of participation rates for each test. We used real-world data for stool testing from the current screening program, but other tests are based on assumptions. We used conservative participation rates for colonoscopy and sigmoidoscopy, and it is unlikely that they would be associated with higher or similar rates than FIT given the high burden associated with undergoing these examinations. Our findings may need to be reviewed if participation rates rose to the range of 75 percent or over.

In conclusion, our results suggest that, at a real-world participation rate of 29.1%, CRC screening based on FIT is one of the most effective, and the most cost-effective, alternative. Efficient and effective gains could not be obtained by switching FIT-based screening to a colonoscopy-based screening or more sensitive tests such as blood-based or faecal DNA testing. In the absence of a more effective testing strategy, these results support that an increase in screening participation would be the main strategy to increase the efficacy of CRC screening and further reduce CRC incidence and mortality.

Supplemental Material

ArticleEnRM_UEG_Supp1 – Supplemental material for Cost-effectiveness analysis of alternative colon cancer screening strategies in the context of the French national screening program

Supplemental material, ArticleEnRM_UEG_Supp1 for Cost-effectiveness analysis of alternative colon cancer screening strategies in the context of the French national screening program by Stéphanie Barré, Henri Leleu, R. Benamouzig, Jean-Christophe Saurin, Alexandre Vimont, Sabrine Taleb and Frédéric De Bels in Therapeutic Advances in Gastroenterology

Footnotes

Acknowledgements

We would like to thank the members of the scientific board for providing data and valuable input during the study: Aldis Kaufmanis, Caroline Huas, Christophe Julien, Chrystelle Gastaldi-Ménager, Delphine Lefeuvre, Emmanuel Ricard, Emmanuelle Salines, Franck Assogba, Françoise Hamers, Guy Launoy, Gwendoline de Guényveau, Hélène Vandewalle, Isabelle Gendre, Julien Le Breton, Ken Haguenoer, Marie Christine Quertier, Michel Robaszkiewicz, Olivier Scemama and Pauline Chauvin.

Conflict of interest statement

S Barré, H Leleu, A Vimont, S Taleb, JC Saurin and F De Bels declare no conflict of interest. R Benamouzig has received honoraria from Alfasigm, Bayer, Medtronic and Mayoli.

Consent statement

This article does not contain any studies involving human participants performed by any of the authors, therefore no informed consent was needed.

Ethics statement

This article does not contain any studies involving human participants performed by any of the authors, therefore no ethics approval was not sought.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was funded by the National Institute for Cancer (Institut National du Cancer).

ORCID iD

Henri Leleu

Supplemental material

Supplemental material for this article is available online.

References

Leone

Voirin

Roche

, et al. Projection de l’incidence et de la mortalité par cancer en France métropolitaine en 2015. Rapport technique. Saint-Maurice (Fra): Institut de veille sanitaire, 2015, p. 62.

Stewart

Wike

Kato

, et al. A population-based study of colorectal cancer histology in the United States, 1998-2001. Cancer 2006; 107: 1128–1141.

Morson

BC.

Evolution of cancer of the colon and rectum. Cancer 1974; 34(Suppl): 845–849.

Institut National de la Santé et de le Recherche Médicale. Cancers: pronostics à long terme. Paris: INSERM, 2006.

Hewitson

Glasziou

Watson

, et al. Cochrane systematic review of colorectal cancer screening using the fecal occult blood test (hemoccult): an update. Am J Gastroenterol 2008; 103: 1541–1549.

Tumeur maligne, affection maligne du tissu lymphatique ou hématopoïétique. Cancer colorectal. Adénocarcinome. Saint-Denis (Fra): Haute Authorité de Santé (HAS), 2012.

Moss

Ancelle-Park

Brenner

European guidelines for quality assurance in colorectal cancer screening and diagnosis. First eedition – Evaluation and interpretation of screening outcomes. Endoscopy 2012; 44: SE49–SE64.

Santé Publique France. Taux de participation au programme de dépistage organisé du cancer colorectal 2016-2017. 2018.

Lejeune

Le Gleut

Cottet

, et al. The cost effectiveness of immunochemical tests for colorectal cancer screening. Dig Liver Dis 2014; 46: 76–81.

10.

Sobhani

Alzahouri

Ghout

, et al. Cost-effectiveness of mass screening for colorectal cancer: choice of fecal occult blood test and screening strategy. Dis Colon Rectum 2011; 54: 876–886.

11.

Hassan

Benamouzig

Spada

, et al. Cost effectiveness and projected national impact of colorectal cancer screening in France. Endoscopy 2011; 43: 780–793.

12.

Wilschut

Hol

Dekker

, et al. Cost-effectiveness analysis of a quantitative immunochemical test for colorectal cancer screening. Gastroenterology 2011; 141: 1648–1655.e1.

13.

Lew

St John

DJB

Macrae

, et al. Evaluation of the benefits, harms and cost effectiveness of potential alternatives to iFOBT testing for colorectal cancer screening in Australia. Int J Cancer 2018; 143: 269–282.

14.

Zhong

Sun

Wan

, et al. Efficacy and cost effectiveness of fecal immunochemical test versus colonoscopy in colorectal cancer screening: a systematic review and meta-analysis. Gastrointest Endosc 2020; 91: 684–697.e15.

15.

Imperiale

Ransohoff

Itzkowitz

, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med 2014; 370: 1287–1297.

16.

Yan

Zhao

, et al. A Comprehensive meta-analysis of micrornas for predicting colorectal cancer. Medicine (Baltimore) 2016; 95: e2738.

17.

Cowppli-Bony

Uhry

Remontet

, et al. Survie des personnes atteintes de cancer en France métropolitaine, 1989-2013. Partie 1 – Tumeurs solides. Saint-Maurice (Fra): Institut de veille sanitaire, 2016, p.274.

18.

Van Hees

Habbema

Meester

, et al. Should colorectal cancer screening be considered in elderly persons without previous screening? A cost-effectiveness analysis. Ann Intern Med 2014; 160: 750–759.

19.

Cottet

Jooste

Bouvier

, et al. Time trends in first-diagnosis rates of colorectal adenomas: a 24-year population-based study. Aliment Pharmacol Ther 2008; 27: 950–959.

20.

Binder-Foucard

Belot

Delafosse

, et al. Estimation nationale de l’incidence et de la mortalité par cancer en France entre 1980 et 2012. Partie 1 – Tumeurs solides. Saint-Maurice (Fra): Institut de veille sanitaire, 2013, p.122.

21.

Faivre-Finn

Bouvier-Benhamiche

Phelip

, et al. Colon cancer in France: evidence for improvement in management and survival. Gut 2002; 51: 60–64.

22.

Cowppli-Bony

Uhry

Remontet

, et al. Survival of solid cancer patients in France, 1989-2013: a population-based study. Eur J Cancer Prev 2017; 26: 461–468.

23.

Lansdorp-Vogelaar

van Ballegooijen

Boer

, et al. A novel hypothesis on the sensitivity of the fecal occult blood test: results of a joint analysis of 3 randomized controlled trials. Cancer 2009; 115: 2410–2419.

24.

Spada

Pasha

Gross

, et al. Accuracy of first- and second-generation colon capsules in endoscopic detection of colorectal polyps: a systematic review and meta-analysis. Clin Gastroenterol Hepatol 2016; 14: 1533–1543.e8.

25.

Reumkens

Rondagh

Bakker

, et al. Post-colonoscopy complications: a systematic review, time trends, and meta-analysis of population-based studies. Am J Gastroenterol 2016; 111: 1092–1101.

26.

Ness

Holmes

Klein

, et al. Utility valuations for outcome states of colorectal cancer. Am J Gastroenterol 1999; 94: 1650–1657.

27.

Andersson

Angenete

Gellerstedt

, et al. Health-related quality of life after laparoscopic and open surgery for rectal cancer in a randomized trial. Br J Surg 2013; 100: 941–949.

28.

Weinberg

Pickhardt

Bruining

, et al. Computed tomography colonography vs colonoscopy for colorectal cancer surveillance after surgery. Gastroenterology 2018; 154: 927–934.e4.

29.

Attema

Brouwer

WBF

Claxton

Discounting in economic evaluations. Pharmacoeconomics 2018; 36: 745–758.

30.

Stoop

de Haan

de Wijkerslooth

, et al. Participation and yield of colonoscopy versus non-cathartic CT colonography in population-based screening for colorectal cancer: a randomised controlled trial. Lancet Oncol 2012; 13: 55–64.

31.

Pornet

Dejardin

Morlais

, et al. Socioeconomic determinants for compliance to colorectal cancer screening. A multilevel analysis. J Epidemiol Community Health 2010; 64: 318–324.

32.

Pornet

Denis

Perrin

, et al. Predictors of adherence to repeat fecal occult blood test in a population-based colorectal cancer screening program. Br J Cancer 2014; 111: 2152–2155.

33.

Ladabaum

Mannalithara

. Comparative Effectiveness and Cost Effectiveness of a Multitarget Stool DNA Test to Screen for Colorectal Neoplasia. Gastroenterology 2016; 151: 427–39 e6..

34.

O’Brien

Winawer

Zauber

, et al. The national polyp study. Patient and polyp characteristics associated with high-grade dysplasia in colorectal adenomas. Gastroenterology 1990; 98: 371–379.

35.

Robertson

Lee

Boland

, et al. Recommendations on fecal immunochemical testing to screen for colorectal neoplasia: a consensus statement by the US multi-society task force on colorectal cancer. Gastroenterology 2017; 152: 1217–1237.e3.

36.

Kim

Yang

Kim

, et al. Trends of ulcerative colitis-associated colorectal cancer in Korea: a KASID study. J Gastroenterol Hepatol 2009; 24: 667–671.

37.

Haute Autorité de Santé. Coloscopie virtuelle meta-analyse des performances diagnostiques indications et conditions de realisation. Rapport d’évaluation technologique. Saint-Denis (fra) 2010, p.130.

38.

Haute Autorité de Santé. Exploration par capsule colique: utilité clinique, méta-analyse des performances diagnostiques, sécurité. Rapport d’évaluation technologique. Saint-Denis (fra), 2016, p.200.

39.

Denis

Gendre

Sauleau

, et al. Harms of colonoscopy in a colorectal cancer screening programme with faecal occult blood test: a population-based cohort study. Dig Liver Dis 2013; 45: 474–480.

40.

Pennazio

Spada

Eliakim

, et al. Small-bowel capsule endoscopy and device-assisted enteroscopy for diagnosis and treatment of small-bowel disorders: European society of gastrointestinal endoscopy (ESGE) clinical guideline. Endoscopy 2015; 47: 352–376.

41.

Bellini

Rengo

De Cecco

, et al. Perforation rate in CT colonography: a systematic review of the literature and meta-analysis. Eur Radiol 2014; 24: 1487–1496.

42.

Haute Autorité de Santé. Choix méthodologiques pour l’évaluation économique à la HAS. Saint-Denis (fra), 2011.

43.

Schnoor

Waldmann

Eberle

, et al. Colorectal cancer incidence in Germany: stage-shift 6 years after implementation of a colonoscopy screening program. Cancer Epidemiol 2012; 36: 417–420.

44.

Cole

Jackson

Doescher

Colorectal cancer screening disparities for rural minorities in the United States. J Prim Care Community Health 2013; 4: 106–111.

45.

Koo

Neilson

Von Wagner

, et al. The NHS bowel cancer screening program: current perspectives on strategies for improvement. Risk Manag Healthc Policy 2017; 10: 177–187.

46.

Hirai

Tsoi

Chan

, et al. Systematic review with meta-analysis: faecal occult blood tests show lower colorectal cancer detection rates in the proximal colon in colonoscopy-verified diagnostic studies. Aliment Pharmacol Ther 2016; 43: 755–764.

47.

Launois

Le Moine

Uzzan

, et al. Systematic review and bivariate/HSROC random-effect meta-analysis of immunochemical and guaiac-based fecal occult blood tests for colorectal cancer screening. Eur J Gastroenterol Hepatol 2014; 26: 978–989.

48.

Hol

Wilschut

van Ballegooijen

, et al. Screening for colorectal cancer: random comparison of guaiac and immunochemical faecal occult blood testing at different cut-off levels. Br J Cancer 2009; 100: 1103–1110.

49.

Com-Ruelle

Lucas-Gabrielli

Renaud

Le Coût du cancer du côlon en Île-de-France. Aspects géographiques, cliniques et thérapeutiques. Paris (Fra): IRDES, 2006, p.165.

50.

Rex

Ahnen

Baron

, et al. Serrated lesions of the colorectum: review and recommendations from an expert panel. Am J Gastroenterol 2012; 107: 1315–1329; quiz 1314, 1330.

51.

Hawkins

Ward

RL.

Sporadic colorectal cancers with microsatellite instability and their possible origin in hyperplastic polyps and serrated adenomas. J Natl Cancer Inst 2001; 93: 1307–1313.

52.

Edelstein

Cruz-Correa

Soto-Salgado

, et al. Risk of colorectal and other cancers in patients with serrated polyposis. Clin Gastroenterol Hepatol 2015; 13: 1697–1699.

53.

Florholmen

Mucosal healing in the era of biologic agents in treatment of inflammatory bowel disease. Scand J Gastroenterol 2015; 50: 43–52.

54.

Chang

Liang

, et al. Psychometric evaluation of the Taiwan Chinese version of the EORTC QLQ-PR25 for HRQOL assessment in prostate cancer patients. Health Qual Life Outcomes 2012; 10: 96.

55.

De Wijkerslooth

Stoop

Bossuyt

, et al. Immunochemical fecal occult blood testing is equally sensitive for proximal and distal advanced neoplasia. Am J Gastroenterol 2012; 107: 1570–1578.

56.

Chang

Shun

Hsu

, et al. Fecal immunochemical test detects sessile serrated adenomas and polyps with a low level of sensitivity. Clin Gastroenterol Hepatol 2017; 15: 872–879.e1.

57.

Anderson

Robertson

DJ.

Serrated polyp detection by the fecal immunochemical test: an imperfect FIT. Clin Gastroenterol Hepatol 2017; 15: 880–882.

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