Evidence map›Paper›PMID 36434877›Full record

SynthesisClinics (Sao Paulo, Brazil)2022

Inhibition of Toll-like Receptor-4 expression for amelioration of myocardial injury in diabetes: A meta-analysis.

Jinxin Yuan, Xingwen Yin, Hua Jiang

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Clinics (Sao Paulo, Brazil), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

3 authors at 1 institution in 1 country.

Jinxin YuanThe Second Affiliated Hospital of Dalian Medical University, Liaoning, China.
Xingwen YinThe Second Affiliated Hospital of Dalian Medical University, Liaoning, China.
Hua JiangThe Second Affiliated Hospital of Dalian Medical University, Liaoning, China. Electronic address: hua_jiangh@sina.com.
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the relationship between the inhibition of Toll-Like Receptor-4 (TLR4) expression levels and diabetic myocardial injury, studies on TLR4 and diabetic myocardial injury in the China National Knowledge Internet (CNKI), WanFang database, VIP Database, PubMed, The Cochrane Library, Web of Science, and other databases were explored (retrieval details: November 2020). A meta-analysis of the selected literature was performed using the RevMan 5.4 software to detect publication bias using funnel plots and conduct a sensitivity analysis. Nine publications were finally included in this study, of which six included data on Heart Weight/Body Weight (HW/BW) indexes, and five included data on Left Ventricular Systolic Pressure (LVSP) and Left Ventricular End-Diastolic Pressure (LVEDP) indices. The meta-analysis showed that HW/BW was significantly reduced after the suppression of TLR4 expression (Standardized Mean Difference [SMD = 1.9], 95% CI between 0.59 and 3.21, p = 0.004), LVSP was significantly improved (SMD = -2.39, 95% CI between -4.32 and -0.46, p = 0.02), and LVEDP was significantly reduced (SMD = 2.88, 95% CI between 1.05 and 4.71, p = 0.002). The TLR4 signaling pathway plays an essential role in the pathogenesis of Diabetic Cardiomyopathy (DCM). Inhibition of TLR4 expression can improve the degree of cardiac impairment. TLR4 may become a new target for the treatment of DCM, and the use of TLR4 inhibitors may prove to be a novel strategy for therapeutic research.

Indexed as

Diabetes MellitusToll-Like Receptor 4Databases, FactualHeartHumansInternetToll-Like Receptor 4Diabetic cardiomyopathyMeta-analysisMyocardial injuryTLR4

Identifiers

PMID36434877
PMCPMC9700273
OpenAlexW4310461144

What OpenQuestion holds

Textmetadata
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.