Evidence map›Paper›PMID 19932107›Full record

ArticleGastroenterology2010

Population-based family history-specific risks for colorectal cancer: a constellation approach.

David P Taylor, Randall W Burt, Marc S Williams, Peter J Haug, Lisa A Cannon-Albright

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gastroenterology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 7 pooled it
–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

112 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Guideline
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  6. Family history and the natural history of colorectal cancer: systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
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  8. Comparative Effectiveness of Two Interventions to Increase Colorectal Cancer Screening for Those at Increased Risk Based on Family History: Results of a Randomized Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
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52 more citing papers are in PubMed but not listed here.

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.

David P TaylorDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
Randall W Burt
Marc S Williams
Peter J Haug
Lisa A Cannon-Albright

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
TCF/LEF function during intestinal maintenance and colon tumorigenesisP01CA073992 · NCI · UNIVERSITY OF UTAH · PI NEKLASON, DEBORAH WOOD · 1998 to 2014
$29.7M
INHERITANCE OF DISCRETE COLORECTAL ADENOMATOUS POLYPSR01CA040641 · NCI · UNIVERSITY OF UTAH · PI BURT, RANDALL WALTER · 1985 to 2007
$2.5M
Analysis of the Familial Component to Disease in a Biomedical Resource w/Link...R01LM009331 · NLM · UNIVERSITY OF UTAH · PI ALBRIGHT, LISA CANNON · 2007 to 2010
$1.6M
NCI NIH HHS N01 PC035141NCI NIH HHS N01-PC-35141NCI NIH HHS P01 CA073992NCI NIH HHS P01-CA73992NCI NIH HHS P30 CA042014NCI NIH HHS R01 CA040641NCI NIH HHS R01-CA40641NLM NIH HHS LM009331NLM NIH HHS R01 LM009331
6 · The paper itself

Abstract

BACKGROUND &

aimsColorectal cancer (CRC) risk estimates based on family history typically include only close relatives. We report familial relative risk (FRR) in probands with various combinations, or constellations, of affected relatives, extending to third-degree.

methodsA population-based resource that includes a computerized genealogy linked to statewide cancer records was used to identify genetic relationships among CRC cases and their first-, second-, and third-degree relatives (FDRs, SDRs, and TDRs). FRRs were estimated by comparing the observed number of affected persons with a particular family history constellation to the expected number, based on cohort-specific CRC rates.

resultsA total of 2,327,327 persons included in > or =3 generation family histories were analyzed; 10,556 had a diagnosis of CRC. The FRR for CRC in persons with > or =1 affected FDR = 2.05 (95% CI, 1.96-2.14), consistent with published estimates. In the absence of a positive first-degree family history, considering both affected SDRs and TDRs, only 1 constellation had an FRR estimate that was significantly >1.0 (0 affected FDRs, 1 affected SDR, 2 affected TDRs; FRR = 1.33; 95% CI, 1.13-1.55). The FRR for persons with 1 affected FDR, 1 affected SDR, and 0 affected TDRs was 1.88 (95% CI, 1.59-2.20), increasing to FRR = 3.28 (95% CI, 2.44-4.31) for probands with 1 affected FDR, 1 affected SDR, and > or =3 affected TDRs.

conclusionsIncreased numbers of affected FDRs influences risk much more than affected SDRs or TDRs. However, when combined with a positive first-degree family history, a positive second- and third-degree family history can significantly increase risk.

Indexed as

AgedAge FactorsAge of OnsetColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPedigreePopulation SurveillanceRegistriesRisk AssessmentRisk FactorsSex FactorsUtah

Identifiers

PMID19932107
PMCPMC2831153

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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.