Evidence map›Paper›PMID 38715982›Full record

SynthesisInternational journal of chronic obstructive pulmonary disease2024

Blood miRNAs as Potential Diagnostic Biomarkers for Chronic Obstructive Pulmonary Disease: A Meta-Analysis.

Xiaohua Li, Guoxia Fu, Chunrong Zhang, Yu Wu, Hua Guo, Weiming Li, Xuefeng Zeng

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in International journal of chronic obstructive pulmonary disease, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Xiaohua Li *Department of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, 61005, People's Republic of China.
Guoxia Fu *Department of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, 61005, People's Republic of China.
Chunrong Zhang *Department of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, 61005, People's Republic of China.
Yu WuWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Hua GuoDepartment of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, 61005, People's Republic of China.
Weiming LiDepartment of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, 61005, People's Republic of China.
Xuefeng ZengDepartment of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, 61005, People's Republic of China.ORCID 0009-0000-4616-4826

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Investigate the efficacy of blood microRNAs (miRNAs) as diagnostic biomarkers for Chronic Obstructive Pulmonary Disease (COPD). Patients and Methods: We conducted a comprehensive search in English and Chinese databases, selecting studies based on predetermined criteria. Diagnostic parameters like summarized sensitivity (SSEN), summarized specificity (SSPE), summarized positive likelihood ratio (SPLR), summarized negative likelihood ratio (SNLR), and diagnostic odds ratio (DOR), and area under the curve (AUC) of the summary receiver operating characteristic (SROC) curves were analyzed using a bivariate model. Each parameter was accompanied by a 95% confidence interval (CI). Results: Eighteen high-quality studies were included. For diagnosing COPD with blood miRNAs, the SSEN was 0.83 (95% CI 0.76-0.89), SSPE 0.76 (95% CI 0.70-0.82), SPLR 3.50 (95% CI 2.66-4.60), SNLR 0.22 (95% CI 0.15-0.33), DOR 15.72 (95% CI 8.58-28.77), and AUC 0.86 (95% CI 0.82-0.88). In acute exacerbations, SSEN was 0.85 (95% CI 0.76-0.91), SSPE 0.80 (95% CI 0.73-0.86), SPLR 4.26 (95% CI 3.05-5.95), SNLR 0.19 (95% CI 0.12-0.30), DOR 22.29 (95% CI 11.47-43.33), and AUC 0.89 (95% CI 0.86-0.91). Conclusion: Blood miRNAs demonstrate significant accuracy in diagnosing COPD, both in general and during acute exacerbations, suggesting their potential as reliable biomarkers.

Indexed as

Area Under CurvePredictive Value of TestsPulmonary Disease, Chronic ObstructiveROC CurveAgedBiomarkersCirculating MicroRNAFemaleGenetic MarkersHumansLungMaleMicroRNAsMiddle AgedOdds RatioPrognosisBiomarkersCirculating MicroRNAGenetic MarkersMicroRNAsbiomarkerchronic obstructive pulmonary diseasediagnosismeta-analysismiRNAs

Identifiers

PMID38715982
PMCPMC11075695

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.