Evidence map›Paper›PMID 29069840›Full record

ArticleOncotarget2017

Meta-analysis reveals gender difference in the association of liver cancer incidence and excess BMI.

Kun-Fang Yao, Ming Ma, Guo-Yong Ding, Zhan-Ming Li, Hui-Ling Chen, Bing Han, Qiang Chen, Xin-Quan Jiang, Li-Shun Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

9 authors at 3 institutions in 1 country.

Kun-Fang Yao *Institute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai, P.R. China.
Ming Ma *Institute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai, P.R. China.
Guo-Yong DingSchool of Public Health Taishan Medical University, Shandong, P.R. China.
Zhan-Ming LiInstitute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai, P.R. China.
Hui-Ling ChenInstitute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai, P.R. China.
Bing HanInstitute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai, P.R. China.
Qiang ChenSchool of Public Health Taishan Medical University, Shandong, P.R. China.
Xin-Quan JiangSchool of Public Health Taishan Medical University, Shandong, P.R. China.
Li-Shun WangInstitute of Fudan-Minhang Academic Health System, Minhang Hospital, Fudan University, Shanghai, P.R. China.
Minhang District Central Hospital · CNFudan University · CNTaishan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excess body weight has a positive association with risk of liver cancer, but the gender difference in the relationship between body mass index and liver cancer risk remains uncertainty. In this work, we performed meta-analysis for excess body weight and risk of liver cancer incidence to identify the gender difference. We searched the English-languages database and the Chinese literature databases to May 12, 2017. Overall, a total of 17 studies were included. Relative risks (RRs) with 95% confidence intervals was used to evaluate the strength of these associations. The RRs of liver cancer incidence for obese men and women were 2.04 (1.70-2.44) and 1.56 (1.37-1.78). The former one was significantly higher than the later one (P for interaction = 0.02). Notably, the RR of liver cancer incidence in non-Asian obese men was even higher than their counter part (2.31(1.85-2.91) vs. 1.56 (1.31-1.86), P for interaction = 0.01). Similar gender difference was observed in the dose-response curve. As example, at the point of BMI = 32 kg/m

Indexed as

BMIincidenceliver cancermeta-analysis

Identifiers

PMID29069840
PMCPMC5641183
OpenAlexW2743420043

What OpenQuestion holds

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LicenceCC BY
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.