Evidence map›Paper›PMID 34837469›Full record

SynthesisThoracic cancer2022

MicroRNA-21 was a promising biomarker for lung carcinoma diagnosis: An update meta-analysis.

Haiyan Wang, Jia Xu, Ling Ding

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Haiyan WangDepartment of Respiratory, Hangzhou Third People's Hospital, Hangzhou, China.ORCID 0000-0002-5693-5046
Jia XuDepartment of Respiratory, Hangzhou Third People's Hospital, Hangzhou, China.
Ling DingDepartment of Respiratory, Hangzhou Third People's Hospital, Hangzhou, China.
Third People's Hospital of Hangzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the diagnostic performance of microRNA-21 detected in serum or sputum as a biomarker for lung carcinoma identification through pooling the open published data.

methodsClinical diagnostic studies related to microRNA-21 as a biomarker for lung carcinoma identification were electronically searched in the databases of Pubmed, EMBASE, Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang, and Google Scholar. The data of the included studies was extracted and made pooling of diagnostic sensitivity, specificity, diagnostic odds ratio (DOR), area under the summary receiver operating characteristic curve (ROC) (AUC) for microRNA-21 expression in serum or sputum as a biomarker for lung carcinoma identification. The publication bias was evaluated by Deek's funnel plot.

resultsSeventeen diagnostic studies were finally included and made data pooling. For the included 17 studies, 4 investigated the microRNA-21 expression in sputum and 13 studies in serum. The pooled diagnostic sensitivity and specificity were 0.73 (95% CI, 0.67-0.78) and 0.81 (95% CI, 0.75-0.85), respectively, under random effect model. The combined DOR was 9.65 (95% CI, 6.64-14.03) with the AUC of 0.84 (95% CI, 0.80-0.87). Given a pre-test probability of 50%, the post-test positive probability and post-test negative probability were 79% and 25%, respectively, by using microRNA-21 as a biomarker for lung carcinoma diagnosis. Deek's funnel was obviously asymmetry and indicated significant publication bias (p < 0.05).

conclusionMicroRNA-21 in serum or sputum was a promising biomarker for lung cancer identification with relative high diagnostic sensitivity and specificity.

Indexed as

CarcinomaLung NeoplasmsMicroRNAsBiomarkers, TumorHumansLungROC CurveSensitivity and SpecificityBiomarkers, TumorMicroRNAsMIRN21 microRNA, humanbiomarkerdiagnosislung carcinomameta-analysismicroRNA-21

Identifiers

PMID34837469
PMCPMC8807252
OpenAlexW3217539303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.