Evidence map›Paper›PMID 34758198›Full record

SynthesisBrain and behavior2021

Relationship between PPAR-γ gene polymorphisms and ischemic stroke risk: A meta-analysis.

Fan Cheng, Xiao-Min Si, Gong-Li Yang, Lan Zhou

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Fan ChengCenter of Cardiopulmonary Rehabilitation, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Xiao-Min SiCenter of Cardiopulmonary Rehabilitation, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Gong-Li YangDepartment of Gastroenterology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, China.
Lan ZhouCenter of Cardiopulmonary Rehabilitation, Taihe Hospital, Hubei University of Medicine, Shiyan, China.ORCID 0000-0003-2800-855X
Hubei University of Medicine · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublished researches have suggested some associations between PPAR-γ and ischemic stroke (IS) development. This meta-analysis was conducted to evaluate the association between PPAR-γ gene polymorphisms and IS risk. MATERIALS AND

methodsA systematic search was conducted in PubMed, Embase, Web of Science, China National Knowledge Infrastructure, and WanFang databases. The pooled association of odd ratios (ORs) and its 95% confidence interval (CI) was calculated to assess the IS risk of PPAR-γ rs1801282 C/G and rs3856806 C/T polymorphisms. Furthermore, the heterogeneity test, cumulative analyses, sensitivity analyses, and publication bias were conducted.

resultSixteen publications with 3786 cases and 5343 controls were identified. Overall findings indicated that rs1801282 C/G polymorphism may be associated with an increased risk for IS (GG vs. CC: OR = 2.17 95%CI = 1.09-4.35, p = .03, I

conclusionIn conclusion, our study showed that PPAR-γ rs1801282 C/G polymorphism probably plays an important role in IS occurrence. The result should be verified with more studies in the future.

Indexed as

Ischemic StrokePPAR gammaGenetic Predisposition to DiseaseHumansOdds RatioPolymorphism, Single NucleotidePPAR gammameta-analysispolymorphismPPAR-γstroke

Identifiers

PMID34758198
PMCPMC8671800
OpenAlexW3211725854

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.