Evidence map›Paper›PMID 36386321›Full record

SynthesisFrontiers in cardiovascular medicine2022

A meta-analysis of the diagnostic value of microRNA for hypertensive left ventricular hypertrophy.

Su-Hai Fei, Zhen-Feng Liu, Hai-Ning Xie, Jia-Ni Tong, Zheng-Mei Fang, Yan Chen, Ying-Shui Yao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Su-Hai FeiSchool of Public Health, Wannan Medical College, Wuhu, China.
Zhen-Feng LiuSchool of Public Health, Wannan Medical College, Wuhu, China.
Hai-Ning XieSchool of Public Health, Wannan Medical College, Wuhu, China.
Jia-Ni TongSchool of Public Health, Wannan Medical College, Wuhu, China.
Zheng-Mei FangSchool of Public Health, Wannan Medical College, Wuhu, China.
Yan ChenSchool of Public Health, Wannan Medical College, Wuhu, China.
Ying-Shui YaoSchool of Public Health, Wannan Medical College, Wuhu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the diagnostic value of microRNAs (miRNAs) for hypertension (HTN) with left ventricular hypertrophy (LVH) were evaluated by meta-analysis. A correlation study of the diagnostic value of miRNAs in HTN with LVH was conducted using a computer search of the China Knowledge Network (CNKI), Wanfang, VIP, China Biomedical Literature Database (CBM), PubMed, Web of Science, and Embase. Studies from the time of database creation to May 2022 were evaluated. The quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool in RevMan 5.3 was used to evaluate the quality of the literature, and Meta-Disc 1.4 and Stata 16.0, were used to calculate the combined sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic advantage ratio (DOR), and their 95% confidence intervals. Subject working characteristic curves were plotted and the area under the curve (AUC) was calculated using Stata 16.0. Seven publications and 8 studies were included. miRNA diagnoses of HTN with LVH had SEN Systematic review registration: http://www.crd.york.ac.uk/PROSPERO/, CRD42022346686.

Indexed as

diagnosishypertensionleft ventricular hypertrophymeta-analysismicroRNA

Identifiers

PMID36386321
PMCPMC9643699

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.