Evidence map›Paper›PMID 35603880›Full record

ArticleScottish medical journal2022

Relationship between BMI, CT-derived body composition and colorectal neoplasia in a bowel screening population.

Domenic G Di Rollo, Josh McGovern, Christopher Morton, Gillian Miller, Ross Dolan, Paul G Horgan, Donald C McMillan, David Mansouri

Open access · hybridAbstract read
In one paragraph

Article in Scottish medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Domenic G Di RolloAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.
Josh McGovernAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.ORCID https://orcid.org/0000-0002-6889-6240
Christopher MortonAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.
Gillian MillerAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.
Ross DolanAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.
Paul G HorganAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.
Donald C McMillanAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.
David MansouriAcademic Unit of Surgery, 3526University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.
Glasgow Royal Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObesity is associated with an increased risk of colorectal cancer (CRC). Unlike the indirect measures such as BMI, CT-Body composition (CT-BC) allows for the assessment of both volume and distribution of adipose tissue. Therefore, the aim of this study was to examine the relationship between host characteristics, BMI, CT-BC measurements and the incidence of colorectal neoplasia.

methodsPatients undergoing CT Colonography (CTC) as part of the Scottish Bowel Screening Programme, between July 2009 and February 2016, were eligible for inclusion. Data were collected including demographic data, clinicopathological variables and CT-BC measurements including skeletal muscle index (SMI), subcutaneous fat index (SFI) and visceral fat area (VFA). CTC, colonoscopy, and pathology reports were used to identify CRC incidence. Associations between demographic data, clinicopathological variables, CT-BC measurements, colorectal neoplasia and advanced colorectal neoplasia were analysed using univariate and multivariate binary logistics regression.

results286 patients met the inclusion criteria. Neoplasia was detected in 105 (37%) of the patients with advanced neoplasia being detected in 72 (69%) of patients. On multivariate analysis sex (p < 0.05) and high VFA (p < 0.001) remained independently associated with colorectal neoplasia. On multivariate analysis a high SFI (p < 0.01) remained independently associated with advanced colorectal neoplasia. BMI was not associated with either colorectal neoplasia or advanced colorectal neoplasia.

conclusionWhen directly compared to BMI, CT derived fat measurements were more closely associated with the degree of neoplasia in patients undergoing colorectal cancer screening. In patients investigated with CT colonography, CT adipose measures may stratify the risk and grade of neoplasia.

Indexed as

ColonoscopyColorectal NeoplasmsBody CompositionBody Mass IndexHumansMass ScreeningPredictive Value of TestsTomography, X-Ray Computedbody compositioncolorectal cancer screeningCTneoplasiaskeletal musclesubcutaneous fatvisceral fat

Identifiers

PMID35603880
PMCPMC9358305
OpenAlexW4281287828

What OpenQuestion holds

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LicenceCC BY-NC
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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.