Evidence map›Paper›PMID 30095648›Full record

SynthesisMedicine2018

Association of obesity and risk of diabetic retinopathy in diabetes patients: A meta-analysis of prospective cohort studies.

Wei Zhu, Yan Wu, Yi-Fang Meng, Qian Xing, Jian-Jun Tao, Jiong Lu

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
4.5field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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  3. HbADiabetes care · 2021
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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

6 authors at 2 institutions in 1 country.

Wei ZhuDepartment of Ophthalmology, Changshu NO.2 People's Hospital, Changshu Department of Ophthalmology, First Hospital Affiliated to Soochow University, Suzhou, Jiangsu Province, China.
Yan Wu
Yi-Fang Meng
Qian Xing
Jian-Jun Tao
Jiong Lu
Changshu No.1 People's Hospital · CNFirst Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR) was considered to be a common complication of diabetes. The purpose of the current study was to investigate the potential association between obesity and DR risk by conducting a meta-analysis of prospective studies.

methodsA consummate literature search of PubMed, EMBASE, and web of science was conducted until July 2016. A total of 13 prospective cohort studies were included in this meta-analysis.

resultsOn meta-analysis of all the studies assessing DR risk, obesity was associated with a significant increase in DR incidence (relative risk [RR], 1.20; 95% confidence interval [CI], 1.01-1.43; I = 59.6%). When only proliferative DR (PDR) was considered, no significant association between obesity and risk of PDR was detected. Significant harmful effect was detected in type 2 diabetes mellitus (T2DM) group (RR, 1.40; 95% CI, 1.05-1.87; I = 67.6%) but not mixed group (RR, 1.04; 95% CI, 0.97-1.18; I = 0.00%). No significant publication bias was detected in the selected 13 studies.

conclusionObesity was a risk factor for non-proliferative DR. However additional well-designed and well-conducted epidemiologic studies were required to deepen our understanding of the relation between obesity and DR.

Indexed as

Age FactorsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic RetinopathyHumansObesityProspective StudiesRisk FactorsSeverity of Illness IndexSex Factors

Identifiers

PMID30095648
PMCPMC6133614
OpenAlexW2886019047

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.