Evidence map›Paper›PMID 31388072›Full record

SynthesisScientific reports2019

Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis.

Xia Qiu, Ying Tang, Rong Zou, Yan Zeng, Yan Yue, Wenxing Li, Yi Qu, Dezhi Mu

Abstract readEvaluation StudyMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Diagnostic accuracy ofFrontiers in immunology · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. A Stronger Innate Immune Response During Hyperacute Human Immunodeficiency Virus Type 1 (HIV-1) Infection Is Associated With Acute Retroviral Syndrome.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  9. Review
  10. Article
  11. Testing forTropical diseases, travel medicine and vaccines · 2020
    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

8 authors.

Xia QiuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Ying TangKey Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China.
Rong ZouDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yan ZengDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yan YueDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Wenxing LiDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yi QuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Dezhi MuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China. mudz@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculin skin test and interferon-gamma release assay are not good at differentiating active tuberculosis from latent tuberculosis. Interferon-gamma-induced protein 10 (IP-10) has been widely used to detect tuberculosis infection. However, its values of discriminating active and latent tuberculosis is unknown. To estimate the diagnostic potential of IP-10 for differentiating active tuberculosis from latent tuberculosis, we searched PubMed, Web of Science, Embase, the Cochrane Library, CNKI, Wanfang, VIP and CBM databases. Eleven studies, accounting for 706 participants (853 samples), were included. We used a bivariate diagnostic random-effects model to conduct the primary data. The overall pooled sensitivity, specificity, negative likelihood rate, positive likelihood rate, diagnostic odds ratio and area under the summary receiver operating characteristic curve were 0.72 (95% CI: 0.68-0.76), 0.83 (95% CI: 0.79-0.87), 0.32 (95% CI: 0.22-0.46), 4.63 (95% CI: 2.79-7.69), 17.86 (95% CI: 2.89-38.49) and 0.8638, respectively. This study shows that IP-10 is a potential biomarker for differentiating active tuberculosis from latent tuberculosis.

Indexed as

BiomarkersChemokine CXCL10Diagnosis, DifferentialHumansLatent TuberculosisOdds RatioROC CurveSerologic TestsBiomarkersChemokine CXCL10CXCL10 protein, human

Identifiers

PMID31388072
PMCPMC6684649

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.