Evidence map›Paper›PMID 39212869›Full record

ArticleCancer causes & control : CCC2024

Body mass index and the prevalence of high-risk colorectal adenomas in a population undergoing screening colonoscopy in Alberta, Canada.

John M Hutchinson, Joshua Chow, Eliya Farah, Matthew T Warkentin, Yibing Ruan, Robert J Hilsden, Darren R Brenner

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Article in Cancer causes & control : CCC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

John M HutchinsonDepartment of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Joshua ChowDepartment of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Eliya FarahDepartment of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Matthew T WarkentinDepartment of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Yibing RuanDepartment of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Robert J HilsdenDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Darren R BrennerDepartment of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. darren.brenner@ucalgary.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is limited evidence regarding body mass index (BMI) as an early marker of high-risk adenoma (HRA) at the time of screening colonoscopy. Because high-risk adenomas (HRA) can develop into colorectal cancer (CRC), BMI could serve as an important clinical predictor of future risk of CRC.

methodsWe examined data from 1831 adults undergoing screening colonoscopy at the Forzani & MacPhail Colon Cancer Screening Center in Alberta, Canada. We fit multivariable logistic regression models to examine the association between BMI and HRA. Non-linear relationships for BMI on HRA were also evaluated using restricted cubic splines.

resultsThe mean BMI in patients with HRA was 28.2 kg/m

conclusionThe findings of this study suggest that excess body mass is associated with higher risk of HRA among a screening population and may be useful an early marker of future disease.

Indexed as

AdenomaBody Mass IndexColonoscopyColorectal NeoplasmsEarly Detection of CancerAdultAgedAlbertaFemaleHumansMaleMass ScreeningMiddle AgedPrevalenceRisk FactorsBody mass indexColorectal neoplasmsEarly detection of cancerLogistic modelsRisk factors

Identifiers

PMID39212869

What OpenQuestion holds

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Registered trials

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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.