Evidence map›Paper›PMID 30294246›Full record

ArticleJournal of carcinogenesis2018

A case-control study on the association of abdominal obesity and hypercholesterolemia with the risk of colorectal cancer.

Vaidehi Ulaganathan, Mirnalini Kandiah, Zalilah Mohd Shariff

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of carcinogenesis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 5 pooled it
0.4field-weighted citation impact, top 43% 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

17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Vaidehi UlaganathanDepartment of Healthcare Professional, Faculty of Health & Life Sciences, Management and Science University, Selangor Darul Ehsan, Malaysia.
Mirnalini KandiahFaculty of Applied Sciences, Ucsi University, Kuala Lumpur, Malaysia.
Zalilah Mohd ShariffDepartment of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.
Management and Science University · MYUCSI University · MYUniversiti Putra Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity has frequently been associated with the dyslipidemic state and with the risk of various chronic diseases.

objectiveThe objective of this study was to determine the relationship between obesity and blood lipids with a risk of colorectal cancer (CRC). METHODOLOGY: Histologically confirmed CRC patients from five local hospitals were matched with cancer-free controls for age, gender, and ethnicity (

resultsIn this study, abdominal obesity significantly doubled the risk of CRC (adjusted odds ratio [AOR] =1.69, 95% confidence interval [CI] = 1-2.83). Hypercholesterolemia and low high-density lipoprotein cholesterol (HDL) increased the risk of CRC more than twofolds (AOR = 2.6, 95% CI = 1.7-3.9 and AOR = 3.8, 95% CI = 2.3-6.3, respectively). Abdominal obesity and hypercholesterolemia synergically doubled the risk of CRC (AOR = 2.0, 95% CI = 1-4). Low-HDL has shown no synergic association with other dyslipidemic states with an increased CRC risk.

conclusionImproving abdominal obesity, hypercholesterolemia, and low HDL may be a clinically relevant strategy to reduce the risk of CRC among Malaysians.

Indexed as

Abdominal obesitycolorectal cancerhypercholesterolemia

Identifiers

PMID30294246
PMCPMC6166417
OpenAlexW2901777587

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.