Evidence map›Paper›PMID 33357010›Full record

ReviewTherapeutic advances in respiratory disease

A comprehensive analysis of microRNAs as diagnostic biomarkers for asthma.

Li Xu, Minhan Yi, Yun Tan, Zixun Yi, Yuan Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. MicroRNAs in chronic pediatric diseases (Review).Experimental and therapeutic medicine · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Exploration of the Molecular Mechanisms ofBioMed research international · 2022
    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

5 authors at 1 institution in 1 country.

Li XuDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Minhan YiSchool of Life Sciences, Central South University, Changsha, Hunan, China.
Yun TanSchool of Life Sciences, Central South University, Changsha, Hunan, China.
Zixun YiSchool of Life Sciences, Central South University, Changsha, Hunan, China.
Yuan ZhangDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.ORCID 0000-0003-0577-7129
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is unclear whether microRNAs could be a potential diagnostic biomarker for asthma or not. The objective of this study is to figure out the diagnostic value of microRNAs in asthma.

methodsLiterature retrieval, screening of publications, specific data extraction, and quality evaluation were conducted according to the standard criteria. Stata 14.0 software was used to analyze the diagnostic value of microRNA for asthma, including the combined sensitivity (Sen), specificity (Spe), the area under the curve (AUC), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR).

resultsA total of 72 studies, containing 4143 cases and 2188 controls, were included for this comprehensive analysis. None of the included publications were rated low in quality. We summarized that, compared with controls, more than 100 miRNAs were reported differently expressed in asthma, although the expression trends were inconsistent. Besides, there were five studies among these 72 articles that applied the diagnostic evaluation of microRNAs in asthma. We found that the pooled Sen, Spe, and AUC for the combination of miR-185-5p, miR-155, let-7a, miR-21, miR-320a, miR-1246, miR-144-5p, and miR-1165-3p in asthma were 0.87 (95%CI: 0.72-0.95), 0.84 (95%CI: 0.74-0.91), and 0.93 (95%CI: 0.89-0.94) individually, and the PLR, NLR, and DOR were 5.5 (95%CI: 3.1-9.7), 0.15 (95%CI: 0.07-0.36), and 35 (95%CI: 10-127) in asthma, respectively. In terms of subgroup analyses, we found that the Sen for these combination miRNAs from serum was higher than that in plasma, while the Spe in plasma worked better than that in serum. Furthermore, compared with children, the combination of above miRNAs from adults had higher Spe and similar Sen.

conclusionsFrom our analysis, the combination of miR-185-5p, miR-155, let-7a, miR-21, miR-320a, miR-1246, miR-144-5p, and miR-1165-3p from peripheral blood could potentially act as a diagnostic biomarker for asthma.

Indexed as

Genetic MarkersAsthmaHumansLikelihood FunctionsMicroRNAsSensitivity and SpecificityGenetic MarkersMicroRNAsasthmadiagnostic biomarkermicroRNA

Identifiers

PMID33357010
PMCPMC7768876
OpenAlexW3113601696

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.