Evidence map›Paper›PMID 41463230›Full record

ReviewCancers2025

Lynch Syndrome in Focus: A Multidisciplinary Review of Cancer Risk, Clinical Management, and Special Populations.

Seyma Eroglu, Ilhan Birsenogul, Alexandra P Bowen, Joseph F Doyle, Stephen E Pupkin, Joaquin Villar, Christopher M Tarney, Edwin Gandia, Danielle M Pastor, Juvianee I Estrada-Veras

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancers, 2025. 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. Article
  2. Review
  3. The crucial role of thromboxane AFrontiers in pharmacology · 2026
    Review
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.

Seyma ErogluMedical Oncology Service, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-9634-7708
Ilhan BirsenogulIndependent Researcher, Bethesda, MD 20814, USA.ORCID 0000-0002-1211-1416
Alexandra P BowenThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA.
Joseph F DoyleDepartment of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Stephen E PupkinThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA.
Joaquin VillarThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA.
Christopher M TarneyMedical Corps, US Army, Fort Sam Houston, TX 78234, USA.
Edwin GandiaThe Defense Health Agency, Falls Church, VA 22042, USA.ORCID 0009-0000-2413-823X
Danielle M PastorSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0003-2732-960X
Juvianee I Estrada-VerasThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA.ORCID 0000-0002-2372-0372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lynch syndrome (LS), also known as hereditary nonpolyposis colorectal cancer (HNPCC), is a hereditary cancer syndrome significantly increasing the risk of colorectal cancer (CRC) and various extracolonic cancers, including endometrial, ovarian, and gastric cancers. LS results from germline pathogenic variants (GPVs) in DNA mismatch repair (MMR) genes, such as

Indexed as

cancer geneticscancer surveillanceimmunotherapyLynch-like syndromeLynch syndromemicrosatellite instabilitymismatch repair genesmolecular diagnosticsrisk-reduction strategies

Identifiers

PMID41463230
PMCPMC12730836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.