Evidence map›Paper›PMID 38493229›Full record

ReviewFamilial cancer2024

Progress report: Peutz-Jeghers syndrome.

Anne Marie Jelsig, John Gásdal Karstensen, Thomas V Overeem Hansen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Familial cancer, 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
3.0field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Pan-Cancer Computational Analysis of RKIP (International journal of molecular sciences · 2025
    Article
  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

3 authors at 2 institutions in 1 country.

Anne Marie JelsigDepartment of Clinical Genetics, University Hospital of Copenhagen - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark. anne.marie.jelsig@regionh.dk.ORCID 0000-0002-0916-4517
John Gásdal KarstensenThe Danish Polyposis Register, Gastro Unit and Department of Clinical Medicine, Amager and Hvidovre, Copenhagen University Hospital and University of Copenhagen-, Copenhagen, Denmark.
Thomas V Overeem HansenDepartment of Clinical Genetics and Department of Clinical Medicine, University Hospital of Copenhagen, Rigshospitalet and Copenhagen University, Copenhagen, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peutz-Jeghers syndrome is a rare, autosomal dominant polyposis syndrome. Presenting with a remarkable phenotype including development of characteristic gastrointestinal polyps, mucocutaneous pigmentations, and an increased risk of cancer, the syndrome has been subject to many studies concerning the natural course of disease. In most patients, pathogenic germline variants are detected in the STK11 gene including cases of mosaicism and structural variants. Yet, studies assessing the effect of surveillance, understanding of cancer development, as well as clinical studies evaluating chemoprevention are lacking. In addition, the impact of Peutz-Jeghers syndrome on mental health, education, and family planning are insufficiently addressed. In this progress report, we describe current knowledge, clinical phenotype, surveillance strategies, and future areas of research.

Indexed as

AMP-Activated Protein Kinase KinasesPeutz-Jeghers SyndromeProtein Serine-Threonine KinasesGerm-Line MutationHumansPhenotypeAMP-Activated Protein Kinase KinasesProtein Serine-Threonine KinasesSTK11 protein, humanGermlineHamartomatousHereditaryPeutz–Jeghers syndromePolyposisSTK11

Identifiers

PMID38493229
OpenAlexW4392876204

What OpenQuestion holds

Textmetadata
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.