Evidence map›Paper›PMID 25963853›Full record

ArticleFamilial cancer2015

Survival in familial colorectal cancer: a Danish cohort study.

Charlotte Kvist Lautrup, Ellen M Mikkelsen, Timothy L Lash, Niels Katballe, Lone Sunde

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Article in Familial cancer, 2015. 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
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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

5 authors.

Charlotte Kvist LautrupDepartment of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark. c.lautrup@rn.dk.
Ellen M MikkelsenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Timothy L LashDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Niels KatballeDepartment of Cardiothoracic Surgery, Aarhus University Hospital, Aarhus, Denmark.
Lone SundeDepartment of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The monogenic Lynch syndrome (LS) is associated with better survival in colorectal cancer (CRC) patients. Whether family history of CRC affects CRC prognosis in general remains unclear. We evaluated overall mortality in a Danish cohort of CRC patients comparing patients with a family history (FHpos) to those without (FHneg) with focus on patients from non-syndromic families, thus FHpos patients were further divided into a non-syndromic group (FHNS) and a HNPCC/LS group (FHHNPCC). We included CRC patients diagnosed 1995-1998. First degree relatives were identified using Danish population registries and family history was obtained by linkage to Danish medical registries. 1- and 5-year mortality were evaluated using the Kaplan-Meier method and Cox regression, with adjustment for age, sex, cancer site, cancer stage, and comorbidity. 1196 CRC patients were included in the study, 219 FHpos patients of whom 197 were FHNS patients. 1- and 5-year adjusted Mortality Rate Ratios comparing FHpos patients to FHneg patients were 0.99 (95% CI 0.69, 1.42) and 1.07 (95% CI 0.87, 1.32), respectively. For FHNS patients, the corresponding MRRs were 1.01 (95% CI 0.69, 1.47) and 1.15 (95% CI 0.93, 1.43). For the FHHNPCC patients MRRs were 0.84 (95% CI 0.29, 2.44) and 0.66 (95% CI 0.33, 1.31), respectively. In contrast to the lower mortality in LS patients, other types of familial CRC do not seem to affect the survival after CRC diagnosis.

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCohort StudiesColorectal NeoplasmsComorbidityDenmarkFemaleFollow-Up StudiesHumansInfantInfant, NewbornCohort studyColorectal cancerFamilial riskMortality

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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.