Evidence map›Paper›PMID 32923933›Full record

ReviewJNCI cancer spectrum2020

Penetrance of Colorectal Cancer Among Mismatch Repair Gene Mutation Carriers: A Meta-Analysis.

Cathy Wang, Yan Wang, Kevin S Hughes, Giovanni Parmigiani, Danielle Braun

Open access · goldAbstract readReview
In one paragraph

Review in JNCI cancer spectrum, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  9. TheBioinformatics advances · 2025
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  18. A validation of models for prediction of pathogenic variants in mismatch repair genes.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Cathy WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-7466-0034
Yan WangDivision of Surgical Oncology, Massachusetts General Hospital, Boston, MA, USA.
Kevin S HughesDivision of Surgical Oncology, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-4084-6484
Giovanni ParmigianiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-8783-5961
Danielle BraunDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-5177-8598
Harvard University · USMassachusetts General Hospital · US

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI JENNIFER W MACK · 1985 to 2026
$330.6M
Training Grant in Quantitative Sciences for Cancer ResearchT32CA009337 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QUACKENBUSH, JOHN, TRIPPA, LORENZO · 1986 to 2025
$12.3M
NCI NIH HHS P30 CA006516NCI NIH HHS T32 CA009337
6 · The paper itself

Abstract

backgroundLynch syndrome, the most common colorectal cancer (CRC) syndrome, is caused by germline mismatch repair (MMR) genes. Precise estimates of age-specific risks are crucial for sound counseling of individuals managing a genetic predisposition to cancer, but published risk estimates vary. The objective of this work is to provide gene-, sex-, and age-specific risk estimates of CRC for MMR mutation carriers that comprehensively reflect the best available data.

methodsWe conducted a meta-analysis to combine risk information from multiple studies on Lynch syndrome-associated CRC. We used a likelihood-based approach to integrate reported measures of CRC risk and deconvolved aggregated information to estimate gene- and sex-specific risk.

resultsOur comprehensive search identified 10 studies (8 on

conclusionsOur results provide up-to-date and comprehensive age-specific CRC risk estimates for counseling and risk prediction tools. These will have a direct clinical impact by improving prevention and management strategies for both individuals who are MMR mutation carriers and those considering testing.

Identifiers

PMID32923933
PMCPMC7476651
OpenAlexW3018842347

What OpenQuestion holds

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LicenceCC BY-NC
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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.