Evidence map›Paper›PMID 24943685›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Diagnostic value of microRNAs in discriminating malignant thyroid nodules from benign ones on fine-needle aspiration samples.

Yang Zhang, Qi Zhong, Xiaohong Chen, Jugao Fang, Zhigang Huang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. MicroRNA-17 family as novel biomarkers for cancer diagnosis: a meta-analysis based on 19 articles.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. MicroRNAs as Biomarkers in Thyroid Carcinoma.International journal of genomics · 2017
    Review
  15. Article
  16. Plasma exosomal miR-21 and miR-181a differentiates follicular from papillary thyroid cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  17. Review
  18. 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.

Yang ZhangDepartment of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Key Laboratory of Otolaryngology Head and Neck Surgery, Capital Medical University, No.1 Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China.
Qi Zhong
Xiaohong Chen
Jugao Fang
Zhigang Huang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have suggested that microRNAs (miRNAs) might serve as novel diagnostic indicators of thyroid cancer (TC). However, inconsistent results have also been reported. This meta-analysis was conducted to assess the diagnostic value of miRNAs in discriminating malignant thyroid nodules from benign ones on fine-needle aspiration samples. A systematic literature search for relevant literature published up to April 5, 2014 was conducted in PubMed, Embase, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biological Medicine (CBM) databases. Data from different studies were pooled to estimate the summary sensitivity (SEN), specificity (SPE), positive likelihood ratios (PLR), negative likelihood ratios (NLR), diagnostic odds ratio (DOR), using the random-effect model. Summary receiver operator characteristic curves (SROCs) were plotted and areas under the SROC curve (AUC) were calculated to evaluate the overall test performance. Between-study heterogeneity was tested using the Q tests and the I (2) statistics. Potential sources of heterogeneity were analyzed through subgroup analyses and meta-regression. Deeks' funnel plot asymmetry test was performed to evaluate publication bias. All analyses were performed using STATA 12.0 software. Eighteen studies from 7 articles, including 543 patients with malignant thyroid nodules (n = 266) and benign ones (n = 277), were included in this meta-analysis. The pooled SEN was 0.77 (95 % CI: 0.70-0.83), SPN was 0.75 (95 % CI: 0.68-0.81), PLR was 3.1 (95 % CI: 2.4-4.0), NLR was 0.30 (95 % CI: 0.23-0.39), DOR was 10 (95 % CI: 7-16), and AUC was 0.83 (95 %CI: 0.79-0.86). Subgroup analyses indicated that multiple miRNAs assays showed a higher diagnostic accuracy than single miRNA assays. In conclusion, this meta-analysis suggests that miRNAs analysis can significantly improve diagnostic accuracy for differentiating malignant thyroid nodules from benign indeterminate ones on fine-needle aspiration (FNA) samples. With further confirmation, multiple miRNAs assays may play a critical role as a complement to fine-needle aspiration biopsy (FNAB).

Indexed as

Biopsy, Fine-NeedleDiagnosis, DifferentialHumansMicroRNAsReproducibility of ResultsSensitivity and SpecificityThyroid GlandThyroid NoduleMicroRNAs

Identifiers

What OpenQuestion holds

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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.