Evidence map›Paper›PMID 27490113›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors.

Matthew Frampton, Richard S Houlston

Open access · hybridAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  18. Assessing thyroid cancer risk using polygenic risk scores.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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

2 authors at 2 institutions in 1 country.

Matthew FramptonThe Centre for Molecular Pathology, The Royal Marsden NHS Foundation Trust, London, UK.ORCID 0000-0002-2345-0966
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Institute of Cancer Research · GBRoyal Marsden NHS Foundation Trust · GB

Funding

Cancer Research UK 15116Cancer Research UK A3351
6 · The paper itself

Abstract

purposeThis study investigated the utility of modeling modifiable lifestyle risk factors in addition to genetic variation in colorectal cancer (CRC) screening/prevention.

methodsWe derived a polygenic risk score for CRC susceptibility variants in combination with the established nongenetic risk factors of inflammatory bowel disease (IBD), adiposity, alcohol, red meat, fruit, vegetables, smoking, physical activity, and aspirin. We used the 37 known risk variants and 50 and 100% of all risk variants as calculated from a heritability estimate. We derived absolute risk from UK population age structure, incidence, and mortality rate data.

resultsTaking into account all risk factors (known variants), 42.2% of 55- to 59-year-old men with CRC have a risk at least as high as that of an average 60-year-old, the minimum eligible age for the UK NHS National Bowel Cancer Screening Program. If the male population is stratified by known variants and IBD status, then risk-difference estimates imply that for 10,000 50-year-old men in the 99th percentile, 760 cases could be prevented over a 25-year period through the modifiable risk factors, but in the lowest percentile, only 90 could be prevented.

conclusionCRC screening and prevention centered on modifiable risk factors could be optimized if targeted at individuals at higher polygenic risk.Genet Med 19 3, 314-321.

Indexed as

Behavior TherapyColorectal NeoplasmsComputer SimulationEarly Detection of CancerHumansIncidenceLife StyleMaleMiddle AgedRisk Factors

Identifiers

PMID27490113
PMCPMC5133376
OpenAlexW2499190122

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.