Evidence map›Paper›PMID 29029542›Full record

ReviewOncotarget2017

Comprehensive analysis on diagnostic value of circulating miRNAs for patients with ovarian cancer.

Huiqing Wang, Tingting Wang, Wenpei Shi, Yuan Liu, Lizhang Chen, Zhanzhan Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Observational
  7. Article
  8. Article
  9. 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

6 authors.

Huiqing WangDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China.
Tingting WangDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China.
Wenpei ShiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China.
Yuan LiuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China.
Lizhang ChenDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan Province 410078, China.
Zhanzhan LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a meta-analysis to assess the diagnostic accuracy of circulating miRNA for patients with ovarian cancer. We systematically searched several online databases, including PubMed, Web of Science, Chinese National Knowledge Infrastructure, and Wanfang from inception to February 20, 2017. We used the bivariate mixed-effect models to pool positive likelihood ratios, negative likelihood ratios, diagnostic odds ratios and their 95% CI confidence intervals (CIs). We used the Quality Assessment of Diagnostic Accuracy Studies 2 for quality assessment of diagnostic accuracy studies. This meta-analysis included ten studies with the number of 1356 participants. The pooled sensitivity and specificity were 0.75 (95%CI: 0.69-0.80) and 0.75 (95%CI: 0.69-0.81). We also calculated the positive likelihood ratios (3.03, 95%CI: 2.44-3.76), and negative likelihood ratios (0.33, 95%CI: 0.27-0.41). The diagnostic odds ratio was 9.09 (95%CI: 6.51-12.69). The summary receiver operator characteristic was 0.82 (95%CI: 0.78-0.85). Sensitivity analysis showed similar results. No publication bias existed (t=0.380,

Indexed as

diagnosticmeta-analysismiRNAovarian cancer

Identifiers

PMID29029542
PMCPMC5630442

What OpenQuestion holds

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Registered trials

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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.