Evidence map›Paper›PMID 31578177›Full record

ArticleBMJ (Clinical research ed.)2019

Colorectal cancer screening with faecal immunochemical testing, sigmoidoscopy or colonoscopy: a microsimulation modelling study.

Maaike Buskermolen, Dayna R Cenin, Lise M Helsingen, Gordon Guyatt, Per Olav Vandvik, Ulrike Haug, Michael Bretthauer, Iris Lansdorp-Vogelaar

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 4 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

67 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effect of Bowel Preparation to Colonoscopy Interval on Preparation Quality and Colonoscopy Outcomes: A Meta-Analysis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

8 authors.

Maaike BuskermolenErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands m.buskermolen@erasmusmc.nl.ORCID https://orcid.org/0000-0003-3417-1994
Dayna R CeninErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
Lise M HelsingenClinical Effectiveness Research Group, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.
Gordon GuyattDepartment of Health Research Methods, Evidence and Impact, McMaster University, ON, Canada.
Per Olav VandvikInstitute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
Ulrike HaugDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Michael BretthauerClinical Effectiveness Research Group, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway.
Iris Lansdorp-VogelaarErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate benefits and harms of different colorectal cancer screening strategies, stratified by (baseline) 15-year colorectal cancer risk.

designMicrosimulation modelling study using MIcrosimulation SCreening ANalysis-Colon (MISCAN-Colon).

settingA parallel guideline committee ( POPULATION: Norwegian men and women aged 50-79 years with varying 15-year colorectal cancer risk (1-7%). COMPARISONS: Four screening strategies were compared with no screening: biennial or annual faecal immunochemical test (FIT) or single sigmoidoscopy or colonoscopy at 100% adherence.

main outcome measuresColorectal cancer mortality and incidence, burdens, and harms over 15 years of follow-up. The certainty of the evidence was assessed using the GRADE approach.

resultsOver 15 years of follow-up, screening individuals aged 50-79 at 3% risk of colorectal cancer with annual FIT or single colonoscopy reduced colorectal cancer mortality by 6 per 1000 individuals. Single sigmoidoscopy and biennial FIT reduced it by 5 per 1000 individuals. Colonoscopy, sigmoidoscopy, and annual FIT reduced colorectal cancer incidence by 10, 8, and 4 per 1000 individuals, respectively. The estimated incidence reduction for biennial FIT was 1 per 1000 individuals. Serious harms were estimated to be between 3 per 1000 (biennial FIT) and 5 per 1000 individuals (colonoscopy); harms increased with older age. The absolute benefits of screening increased with increasing colorectal cancer risk, while harms were less affected by baseline risk. Results were sensitive to the setting defined by the guideline panel. Because of uncertainty associated with modelling assumptions, we applied a GRADE rating of low certainty evidence to all estimates.

conclusionsOver a 15 year period, all screening strategies may reduce colorectal cancer mortality to a similar extent. Colonoscopy and sigmoidoscopy may also reduce colorectal cancer incidence, while FIT shows a smaller incidence reduction. Harms are rare and of similar magnitude for all screening strategies.

Indexed as

Models, StatisticalAgedColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleFollow-Up StudiesHumansIncidenceMaleMass ScreeningMiddle AgedNorwayOccult BloodOutcome and Process Assessment, Health CarePractice Guidelines as Topic

Identifiers

PMID31578177
PMCPMC6774435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.