Evidence map›Paper›PMID 32700645›Full record

SynthesisAnnals of medicine2020

Is interleukin-2 an optimal marker for diagnosing tuberculosis infection? A systematic review and meta-analysis.

Xia Qiu, Huiqing Wang, Ying Tang, Xiaojuan Su, Long Ge, Yi Qu, Dezhi Mu

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Annals of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
0.2field-weighted citation impact, top 33% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Diagnostic accuracy ofFrontiers in immunology · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. CD8+ lymphocytes in immunity against tuberculosis.Journal of immunology (Baltimore, Md. : 1950) · 2026
    Review
  5. Article
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  9. Article
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  11. Household contact antigen-speciResearch square · 2024
    Article
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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 2 institutions in 1 country.

Xia QiuDepartment of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China.
Huiqing WangDepartment of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China.
Ying TangDepartment of Ultrasonic, West China Second University Hospital, Sichuan University, Chengdu, China.
Xiaojuan SuDepartment of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China.
Long GeEvidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
Yi QuDepartment of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China.
Dezhi MuDepartment of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China.ORCID 0000-0002-9148-069X
Sichuan University · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLatent tuberculosis infection (LTBI) is a huge reservoir for the deadlier TB disease. Accurate identification of LTBI is a key strategy to eliminate TB. Therefore, a systematic review and meta-analysis approach was used to assess diagnostic potential of IL-2 for LTBI.

methodsPubMed, Web of Science, the Cochrane Library and Embase were searched. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under the summary receiver operating characteristic curve (AUROC) and hierarchical summary receiver operating characteristic curve (HSROC) were estimated by bivariate and HSROC models.

resultsTwenty-seven studies including 1404 participants and 1986 samples met the inclusion criteria. The pooled sensitivity, specificity, PLR, NLR, DOR and AUROC of IL-2 were separately as 87%, 98%, 34.78, 0.14, 256.41 and 0.98, indicating a very powerful differentiating ability of IL-2 for LTBI from non-TB controls. For differentiating ATB from LTBI, the pooled sensitivity, specificity, PLR, NLR, DOR and AUROC of IL-2 were 83%, 76%, 3.41, 0.22, 15.47 and 0.87, respectively, suggesting a good differentiating ability of IL-2.

conclusionsThese findings showed that IL-2 is a powerful marker for differentiating LTBI from non-TB controls and a good marker for differentiating ATB from LTBI individuals.

Indexed as

AdultBiomarkersCase-Control StudiesChildCost of IllnessCross-Sectional StudiesFemaleHumansInterleukin-2Latent TuberculosisMaleMycobacterium tuberculosisOdds RatioRandomized Controlled Trials as TopicROC CurveSensitivity and SpecificityBiomarkersInterleukin-2active tuberculosisdifferentiationInterleukin-2latent tuberculosis infectionnon-TB controls

Identifiers

PMID32700645
PMCPMC7877967
OpenAlexW3044776464

What OpenQuestion holds

Textmetadata
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.