Evidence map›Paper›PMID 29390341›Full record

SynthesisMedicine2017

Accuracy of interleukin-27 assay for the diagnosis of tuberculous pleurisy: A PRISMA-compliant meta-analysis.

Min Li, Wenye Zhu, Rana Sami Ullah Khan, Ummair Saeed, Rongchun Wang, Shaoqing Shi, Zhuang Luo

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Biomarkers in the diagnosis of pleural diseases: a 2018 update.Therapeutic advances in respiratory disease
    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 at 1 institution in 1 country.

Min LiDepartment of Respiratory Medicine Department of Pharmacy, First Affiliated Hospital of Kunming Medical University The Postgraduate School of Kunming Medical University, Kunming Department of Respiratory Medicine, First Affiliated Hospital of Kunming Medical University, Yunnan, China.
Wenye Zhu
Rana Sami Ullah Khan
Ummair Saeed
Rongchun Wang
Shaoqing Shi
Zhuang Luo
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe concentration of interleukin-27 (IL-27) in pleural effusions was found to be increased in tuberculous pleurisy and several studies have investigated the diagnostic value of IL-27 for tuberculous pleural effusions (TPEs), but the results varied a lot. We conducted the present study to comprehensively evaluate the diagnostic value of IL-27 for TPE.

methodsPrimary diagnostic test studies of IL-27 for TPE was searched and identified from databases. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ration, diagnostic odds ratio, and receiver operating characteristic curves (SROCs) were computed or pooled to summarize the overall test performance.

resultsNine studies with a total number of 1226 patients were identified in our research. The main pooled estimates were as follows: sensitivity 0.92 [95% confidence interval (CI), 0.90-0.95], specificity 0.90 (95% CI, 088-0.92), and area under the SROC 0.97. No evidence of publication bias was detected.

conclusionOur research suggested the good diagnostic value of IL-27 for TPE and it could be used as a diagnostic biomarker.

Indexed as

BiomarkersHumansInterleukin-27Pleural EffusionSensitivity and SpecificityTuberculosis, PleuralBiomarkersInterleukin-27

Identifiers

PMID29390341
PMCPMC5815753
OpenAlexW2773820323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.