Evidence map›Paper›PMID 23935382›Full record

ArticleThe application of clinical genetics2013

Reduced life expectancy seen in hereditary diseases which predispose to early-onset tumors.

D Gareth R Evans, Sarah Louise Ingham

Open access · goldAbstract read
In one paragraph

Article in The application of clinical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. The proportion of endometrial cancers associated with Lynch syndrome: a systematic review of the literature and meta-analysis.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Pooled it
  2. Article
  3. Review
  4. The Neurofibromatoses.Deutsches Arzteblatt international · 2020
    Review
  5. Article
  6. Article
  7. Translational lung cancer research · 2017
    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

2 authors at 2 institutions in 1 country.

D Gareth R EvansGenetic Medicine, Manchester Academic Health Science Centre, Central Manchester Foundation Trust, St Mary's Hospital, Manchester, UK.
Sarah Louise Ingham
St Mary's Hospital · GBUniversity of Manchester · GB

Funding

Department of Health RP-PG-0707-10031
6 · The paper itself

Abstract

There are several hereditary diseases that are a predisposition to early-onset tumors. These include syndromic conditions like neurofibromatosis 1 and 2, von Hippel-Lindau syndrome, Gorlin syndrome, multiple endocrine neoplasia, and familial adenomatous polyposis; and conditions which are usually not possible to diagnose clinically in a single individual, such as Lynch syndrome and BRCA1/2. Understanding of the mortality in hereditary cancer predisposing diseases is important for developing effective disease treatment programs. A number of studies have been undertaken to investigate the genetic predictors, prevalence and incidence, and treatment outcomes of these diseases; however, the majority examine only the most common of these diseases (eg, neurofibromatosis or BRCA), or look into postoperative survival. The mortality of individuals who are diagnosed with one of these hereditary diseases remains an area for investigation. This review is the first to attempt identification of studies investigating life expectancy in hereditary diseases which predispose to early-onset tumors.

Indexed as

early-onsetlife expectancymortalitysurvivaltumors

Identifiers

PMID23935382
PMCPMC3735038
OpenAlexW2030515277

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.