Evidence map›Paper›PMID 31624504›Full record

ArticleDiabetology & metabolic syndrome2019

Association between metabolic syndrome and the incidence of gastric cancer: a meta-analysis of cohort studies.

Zhibin Li, Hongfeng Han, Yuan Chang

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

Article in Diabetology & metabolic syndrome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 4 syntheses or guidelines pooled it, 17 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 1 institution in 1 country.

Zhibin Li1Department of Digestive Diseases, The Central Hospital of Luoyang City Affiliated to Zhengzhou University, No. 288 Zhong Zhou Zhong Lu, Luoyang, 471000 China.
Hongfeng Han1Department of Digestive Diseases, The Central Hospital of Luoyang City Affiliated to Zhengzhou University, No. 288 Zhong Zhou Zhong Lu, Luoyang, 471000 China.
Yuan Chang2Department of Dermatology, The Central Hospital of Luoyang City Affiliated to Zhengzhou University, Luoyang, 471000 China.
Luoyang Central Hospital Affiliated to Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies investigating the association between metabolic syndrome (MetS) and incidence of gastric cancer (GC) showed inconsistent results. The aim of the study was to evaluate the influence of MetS on GC risk in a meta-analysis.

methodsCohort studies that evaluating the association between MetS and GC were identified via systematic search of PubMed, Embase, Web of Science, and Scopus databases. Pooled analyses were performed via a random-effect model or a fixed effect model according to the heterogeneity among the studies. Predefined subgroup analyses were performed to evaluate whether gender or ethnic group of the patients affected the results.

resultsOverall, eight cohort studies with 8,745,671 participants were included, and 37,245 GC cases occurred during follow-up. Results showed that MetS defined by the revised National Cholesterol Education Program's Adults Treatment Panel III criteria was not associated with a significantly affected GC risk (adjusted risk ratio [RR]: 1.03, p = 0.59; I

conclusionsThese results indicated that current evidence from epidemiological studies does not support that patients with MetS are at higher risk for the development of GC.

Indexed as

Cohort studyGastric cancerMeta-analysisMetabolic syndrome

Identifiers

PMID31624504
PMCPMC6785885
OpenAlexW2979711060

What OpenQuestion holds

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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.