Evidence map›Paper›PMID 38787836›Full record

ArticlePloS one2024

Optimal timing of a colonoscopy screening schedule depends on adenoma detection, adenoma risk, adherence to screening and the screening objective: A microsimulation study.

Viktor Zaika, Meher K Prakash, Chih-Yuan Cheng, Michael Schlander, Brian M Lang, Niko Beerenwinkel, Amnon Sonnenberg, Niklas Krupka, Benjamin Misselwitz, Jan Poleszczuk

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Viktor ZaikaFaculty of Medicine, Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.ORCID 0009-0001-4791-0613
Meher K PrakashTheoretical Sciences Unit, Jawaharlal Nehru Center for Advanced Scientific Research, Jakkur, Bangalore, India.
Chih-Yuan ChengDivision of Health Economics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Michael SchlanderDivision of Health Economics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Brian M LangDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Niko BeerenwinkelDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID 0000-0002-0573-6119
Amnon SonnenbergThe Portland VA Medical Center, P3-GI, Portland, Oregon, United States of America.
Niklas KrupkaDepartment of Visceral Surgery and Medicine, Inselspital Bern and Bern University, Bern, Switzerland.
Benjamin MisselwitzDepartment of Visceral Surgery and Medicine, Inselspital Bern and Bern University, Bern, Switzerland.ORCID 0000-0002-8719-5175
Jan PoleszczukNalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colonoscopy-based screening provides protection against colorectal cancer (CRC), but the optimal starting age and time intervals of screening colonoscopies are unknown. We aimed to determine an optimal screening schedule for the US population and its dependencies on the objective of screening (life years gained or incidence, mortality, or cost reduction) and the setting in which screening is performed. We used our established open-source microsimulation model CMOST to calculate optimized colonoscopy schedules with one, two, three or four screening colonoscopies between 20 and 90 years of age. A single screening colonoscopy was most effective in reducing life years lost from CRC when performed at 55 years of age. Two, three and four screening colonoscopy schedules saved a maximum number of life years when performed between 49-64 years; 44-69 years; and 40-72 years; respectively. However, for maximum incidence and mortality reduction, screening colonoscopies needed to be scheduled 4-8 years later in life. The optimum was also influenced by adenoma detection efficiency with lower values for these parameters favoring a later starting age of screening. Low adherence to screening consistently favored a later start and an earlier end of screening. In a personalized approach, optimal screening would start earlier for high-risk patients and later for low-risk individuals. In conclusion, our microsimulation-based approach supports colonoscopy screening schedule between 45 and 75 years of age but the precise timing depends on the objective of screening, as well as assumptions regarding individual CRC risk, efficiency of adenoma detection during colonoscopy and adherence to screening.

Indexed as

AdenomaColonoscopyColorectal NeoplasmsEarly Detection of CancerAdultAgedAged, 80 and overComputer SimulationFemaleHumansMaleMass ScreeningMiddle AgedPatient ComplianceTime FactorsYoung Adult

Identifiers

PMID38787836
PMCPMC11125540

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.