Evidence map›Paper›PMID 30081866›Full record

ArticleBMC cancer2018

Body mass index and cancer risk among Chinese patients with type 2 diabetes mellitus.

Hui-Lin Xu, Min-Lu Zhang, Yu-Jie Yan, Fang Fang, Qi Guo, Dong-Li Xu, Zuo-Feng Zhang, Fen Zhang, Nai-Qing Zhao, Wang-Hong Xu and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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

11 authors.

Hui-Lin XuSchool of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China.
Min-Lu ZhangSchool of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China.
Yu-Jie YanShanghai Minhang Center for Disease Control and Prevention, 965 Zhong Yi Road, Shanghai, 201101, People's Republic of China.
Fang FangDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Qi GuoShanghai Minhang Center for Disease Control and Prevention, 965 Zhong Yi Road, Shanghai, 201101, People's Republic of China.
Dong-Li XuShanghai Minhang Center for Disease Control and Prevention, 965 Zhong Yi Road, Shanghai, 201101, People's Republic of China.
Zuo-Feng ZhangDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Fen ZhangShanghai Minhang Center for Disease Control and Prevention, 965 Zhong Yi Road, Shanghai, 201101, People's Republic of China.
Nai-Qing ZhaoSchool of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China.
Wang-Hong XuSchool of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China. wanghong.xu@fudan.edu.cn.
Guo-You QinSchool of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, People's Republic of China. gyqin@fudan.edu.cn.ORCID http://orcid.org/0000-0002-1413-3117

Funding

UCLA CANCER EPIDEMIOLOGY TRAINING PROGRAMT32CA009142 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHANG, ZUO-FENG · 1986 to 2024
$6.3M
National Natural Science Foundation of China 11371100Nature Science Foundation of Minhang district Shanghai China 2016MHZ25NCI NIH HHS T32 CA009142Shanghai Municipal Commission of Health and Family Planning 201640254
6 · The paper itself

Abstract

backgroundObesity and diabetes are two risk factors for cancer. To evaluate the association of body mass index (BMI) with cancer risk in diabetic patients may improve current understanding of potential mechanisms.

methodsA retrospective cohort study was conducted in 51,004 newly diagnosed T2DM patients derived from an electronic health record (EHR) database of Minhang district in Shanghai, China. Incident cancer cases and all-cause deaths occurred before September 30, 2015 were identified by linking with the Shanghai Cancer Registry and the Shanghai Vital Statistics. To examine the potential non-linear and linear relationships of BMI and cancer risk, Cox proportional hazard models with and without restricted cubic spline functions were used, respectively.

resultsA non-linear association was observed between BMI and overall cancer incidence in men younger than 60 years old (p for non-linearity = 0.009). Compared with those having BMI of 25.0 kg/m

conclusionsOur results show that the effect of BMI on cancer risk in Chinese patients with T2DM may vary by gender, age and cancer subtypes, suggesting different underlying biological mechanisms.

Indexed as

Body Mass IndexAgedAge FactorsChinaDiabetes Mellitus, Type 2Electronic Health RecordsFemaleHumansIncidenceMaleMiddle AgedNeoplasmsObesityRegistriesRetrospective StudiesRisk FactorsBody mass indexCancer incidenceRetrospective cohort studyType 2 diabetes mellitus

Identifiers

PMID30081866
PMCPMC6080536

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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.