Evidence map›Paper›PMID 36162367›Full record

ArticleClinics (Sao Paulo, Brazil)2022

Clinical relevance of miR-423-5p levels in chronic obstructive pulmonary disease patients.

Xin Zhang, Qing Shi, Lu Xiong, Shiye Shi, Yong Li, Yanhuan Wang, Mingchuan Zhang

Open access · goldAbstract read
In one paragraph

Article 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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 at 1 institution in 1 country.

Xin ZhangRespiratory Department, ChongQing TongLiang People's Hospital, ChongQing, China.
Qing ShiRespiratory Department, ChongQing TongLiang People's Hospital, ChongQing, China.
Lu XiongRespiratory Department, ChongQing TongLiang People's Hospital, ChongQing, China.
Shiye ShiRespiratory Department, ChongQing TongLiang People's Hospital, ChongQing, China.
Yong LiRespiratory Department, ChongQing TongLiang People's Hospital, ChongQing, China.
Yanhuan WangEmergency Department, ChongQing TongLiang People's Hospital, ChongQing, China.
Mingchuan ZhangRespiratory Department, ChongQing TongLiang People's Hospital, ChongQing, China. Electronic address: zhangmingchuan@hotmail.com.
First People's Hospital of Chongqing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to examine changes in miRNAs expression profile of COPD patients.

methodsThirty-six COPD patients as well as thirty-three healthy volunteers were recruited. Total RNAs were collected from the plasma of each participant. The differentially expressed miRNAs in COPD were screened from the GEO database. RT-qPCR was carried out to detect miRNA expression.

resultsIn total, 9 out of 55 miRNAs were expressed differentially in COPD patients. Confirmed by RT-qPCR validation, 6 miRNAs increased while 3 miRNAs decreased. Further analysis of miR-423-5p, which has not been reported in COPD, showed that AUC for the diagnosis of COPD was 0.9651, and miR-423-5p levels was inversely correlated with the duration of smoking.

conclusionThe present study demonstrates that miR-423-5p is a potential marker for identifying COPD patients.

Indexed as

MicroRNAsPulmonary Disease, Chronic ObstructiveBiomarkersGene Expression ProfilingHumansReal-Time Polymerase Chain ReactionSmokingBiomarkersMicroRNAsMIRN423 microRNA, humanCOPDGEOmiR-423-5pReceiver operating curve

Identifiers

PMID36162367
PMCPMC9513109
OpenAlexW4296872642

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.