Evidence map›Paper›PMID 34019567›Full record

SynthesisPloS one2021

A meta-analysis of circulating microRNAs in the diagnosis of papillary thyroid carcinoma.

Yan Liu, Houfa Geng, Xuekui Liu, Mingfeng Cao, Xinhuan Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. 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

5 authors.

Yan LiuShandong First Medical University & Shandong Academy of Medical Science, Tai'an, China.
Houfa GengDepartment of Endocrinology, Xuzhou Central Hospital, Affiliated Hospital of Medical School of Southeast University, Xuzhou, China.
Xuekui LiuDepartment of Endocrinology, Xuzhou Central Hospital, Affiliated Hospital of Medical School of Southeast University, Xuzhou, China.
Mingfeng CaoDepartment of Endocrinology, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Tai'an, China.
Xinhuan ZhangDepartment of Endocrinology, The Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Science, Tai'an, China.ORCID 0000-0002-9729-8995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAim of this meta-analysis was to evaluate the overall diagnostic value of circulating mini miRNAs for papillary thyroid carcinoma (PTC) and to find the possible molecular marker with higher diagnostic value for PTC.

methodsWe searched the Pubmed, Cochrane and Embase database until June 2020. We selected relevant literatures associated with the diagnosis of PTC with circulating miRNAs. The number of cases in experimental group and the control group, sensitivity and specificity could be extracted from the literatures.

resultsWe got 9 literatures including 2114 cases of PTC. Comprehensive sensitivity was 0.79, comprehensive specificity was 0.82, positive likelihood ratio was 4.3, negative likelihood ratio was 0.26, diagnostic advantage ratio was 16. The summary receiver operating characteristic curve was drawn and the Area Under the Curve was 0.87.

conclusionsCirculating microRNAs may be promising molecular markers for the diagnosis of papillary thyroid carcinoma. Combined detection of certain serum microRNAs can improve the diagnostic accuracy of papillary thyroid carcinoma. Especially MiR-222 and miR-146b may be prime candidates for the diagnosis of PTC in Asian population.

Indexed as

Biomarkers, TumorCirculating MicroRNAHumansMicroRNAsROC CurveThyroid Cancer, PapillaryThyroid NeoplasmsBiomarkers, TumorCirculating MicroRNAMicroRNAsMIR222, humanMIRN146 microRNA, human

Identifiers

PMID34019567
PMCPMC8139519

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.