Evidence map›Paper›PMID 36263231›Full record

ArticleFrontiers in oncology2022

Association of metabolic syndrome and the risk of bladder cancer: A prospective cohort study.

Shuo Fang, Yuchen Liu, Huiru Dai, Tianshun Gao, Leli Zeng, Rui Sun, Zilong Zheng, Jinqiu Yuan, Bin Xia, Yihang Pan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 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

10 authors at 3 institutions in 2 countries.

Shuo FangDepartment of Oncology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yuchen LiuBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Huiru DaiDepartment of Oncology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Tianshun GaoBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Leli ZengBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Rui SunBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Zilong ZhengBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jinqiu YuanBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Bin XiaBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yihang PanBig Data Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
The Seventh Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CNChinese University of Hong Kong · CN

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) and its components have been shown as risk factors for several solid cancers. However, current epidemiological evidence about the relevance of MetS and bladder cancer risk was limited. Methods: We conducted a prospective cohort study of 476,986 participants with undiagnosed bladder cancer based on the UK Biobank. MetS was defined as the presence of at least three of the five selected indicators: hypertension, central obesity, raised triglyceride, reduced HDL-cholesterol, and raised fasting plasma glucose. Bladder cancer has been identified through contact with the British Cancer Registry (median follow-up time: 6.6 years). We assessed hazard ratio (HR) and 95% confidence interval (CI) through Cox proportional hazard regression after adjusting for demographic and lifestyle factors. Non-linear associations for individual MetS components were assessed by the restricted cubic spline method. Results: During a follow-up of 3,112,566 person-years, 487 cases of bladder cancer were ascertained. MetS (HR = 1.32, 95% CI = 1.08-1.61), central obesity (HR = 1.39, 95% CI = 1.15-1.68), dyslipidemia for HDL cholesterol (HR = 1.31, 95% CI = 1.04-1.66), and hyperglycemia (HR = 1.44, 95% CI = 1.16-1.79) were associated with elevated risk of bladder cancer. Bladder cancer risk increased with the number of MetS components. In stratified analyses, MetS showed similar effects in bladder cancer independently with sex, age, cigarette and alcohol use, physical activity, and dietary factors. Higher waist circumference, BMI, fasting blood glucose, and glycosylated hemoglobin were independently associated with increased risk of bladder cancer, with no evidence against non-linearity. Conclusion: MetS might be an independent risk factor for bladder cancer. Our findings highlighted the importance of individualized management of MetS components for preventing bladder cancer.

Indexed as

bladder cancerblood glucosecentral obesityindependent riskmetabolic syndrome

Identifiers

PMID36263231
PMCPMC9574437
OpenAlexW4300960662

What OpenQuestion holds

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LicenceCC BY
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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.