Evidence map›Paper›PMID 31805871›Full record

ArticleBMC gastroenterology2019

Effectiveness, benefit harm and cost effectiveness of colorectal cancer screening in Austria.

Beate Jahn, Gaby Sroczynski, Marvin Bundo, Nikolai Mühlberger, Sibylle Puntscher, Jovan Todorovic, Ursula Rochau, Willi Oberaigner, Hendrik Koffijberg, Timo Fischer and 8 more

Abstract read
In one paragraph

Article in BMC gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. Metabolic syndrome and risk of advanced colorectal adenomas in a screening population: Frequentist and Bayesian analyses.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2026
    Article
  5. Article
  6. Article
  7. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Colorectal Cancer in Younger Adults.Hematology/oncology clinics of North America · 2022
    Review
  17. Review
  18. Cost-Effectiveness of Colorectal Cancer Genetic Testing.International journal of environmental research and public health · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Beate JahnInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Gaby SroczynskiInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Marvin BundoInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Nikolai MühlbergerInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Sibylle PuntscherInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Jovan TodorovicInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Ursula RochauInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Willi OberaignerInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria.
Hendrik KoffijbergHealth Technology and Services Research, University of Twente, Enschede, The Netherlands.
Timo FischerMain Association of Austrian Social Security Institutions, Vienna, Austria.
Irmgard Schiller-FruehwirthMain Association of Austrian Social Security Institutions, Vienna, Austria.
Dietmar ÖfnerDepartment of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Friedrich RennerFaculty of Medicine, Johannes Kepler University Linz, Linz, Austria.
Michael JonasMedical Association of Vorarlberg, Dornbirn, Austria.
Monika HacklStatistics Austrias, Vienna, Austria.
Monika FerlitschDepartment of Internal Medicine III; Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Uwe SiebertInstitute of Public Health, Medical Decision Making and Health Technology Assessment; Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall in Tirol, Austria. uwe.siebert@umit.at.ORCID http://orcid.org/0000-0001-6425-7671
Austrian Colorectal Cancer Screening Model Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClear evidence on the benefit-harm balance and cost effectiveness of population-based screening for colorectal cancer (CRC) is missing. We aim to systematically evaluate the long-term effectiveness, harms and cost effectiveness of different organized CRC screening strategies in Austria.

methodsA decision-analytic cohort simulation model for colorectal adenoma and cancer with a lifelong time horizon was developed, calibrated to the Austrian epidemiological setting and validated against observed data. We compared four strategies: 1) No Screening, 2) FIT: annual immunochemical fecal occult blood test age 40-75 years, 3) gFOBT: annual guaiac-based fecal occult blood test age 40-75 years, and 4) COL: 10-yearly colonoscopy age 50-70 years. Predicted outcomes included: benefits expressed as life-years gained [LYG], CRC-related deaths avoided and CRC cases avoided; harms as additional complications due to colonoscopy (physical harm) and positive test results (psychological harm); and lifetime costs. Tradeoffs were expressed as incremental harm-benefit ratios (IHBR, incremental positive test results per LYG) and incremental cost-effectiveness ratios [ICER]. The perspective of the Austrian public health care system was adopted. Comprehensive sensitivity analyses were performed to assess uncertainty.

resultsThe most effective strategies were FIT and COL. gFOBT was less effective and more costly than FIT. Moving from COL to FIT results in an incremental unintended psychological harm of 16 additional positive test results to gain one life-year. COL was cost saving compared to No Screening. Moving from COL to FIT has an ICER of 15,000 EUR per LYG.

conclusionsOrganized CRC-screening with annual FIT or 10-yearly colonoscopy is most effective. The choice between these two options depends on the individual preferences and benefit-harm tradeoffs of screening candidates.

Indexed as

AdultAgedAustriaColonic NeoplasmsColonoscopyCost-Benefit AnalysisGuaiacHumansIndicators and ReagentsMarkov ChainsMass ScreeningMiddle AgedOccult BloodQuality-Adjusted Life YearsRectal NeoplasmsSensitivity and SpecificityGuaiacIndicators and ReagentsColonoscopyColorectal cancerScreeningState-transition cohort model, Markov model

Identifiers

PMID31805871
PMCPMC6896501

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.