Evidence map›Paper›PMID 27642776›Full record

ArticleThe Pediatric infectious disease journal2016

Added Value of IP-10 as a Read-Out of Mycobacterium tuberculosis: Specific Immunity in Young Children.

Synne Jenum, Sivakumaran Dhanasekaran, Christian Ritz, Ragini Macaden, T Mark Doherty, Harleen M S Grewal, TB Trials Study Group

Open access · hybridAbstract read
In one paragraph

Article in The Pediatric infectious disease journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Screening tests for active pulmonary tuberculosis in children.The Cochrane database of systematic reviews · 2021
    Pooled it
  2. Article
  3. Machine Learning Algorithms Evaluate Immune Response to NovelFrontiers in cellular and infection microbiology · 2020
    Article
  4. Article
  5. Article
  6. 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

7 authors at 2 institutions in 2 countries.

Synne JenumFrom the *Department of Clinical Science, University of Bergen, Bergen, Norway; †Department of Infectious Diseases, Oslo University Hospital, Oslo, Norway; ‡Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway; §Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark; ¶Division of Infectious Diseases, St. John's Research Institute, Koramangala, Bangalore, India; and ‖GlaxoSmithKline, Vaccines, Wavre, Belgium.
Sivakumaran Dhanasekaran
Christian Ritz
Ragini Macaden
T Mark Doherty
Harleen M S Grewal
TB Trials Study Group
University of Bergen · NOAeras · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have explored the added value of interferon-γ (IFNγ)-inducible protein 10 as a read-out of Mycobacterium tuberculosis-specific immunity in young Indian children, where the sensitivity of the IFNγ release assays for tuberculosis is poor. Reduced frequency of indeterminate results and an increased sensitivity for tuberculosis suggest a potential for fewer missed cases with a combined IFNγ/inducible protein 10 read-out in a 4th generation IFNγ release assays.

Indexed as

Chemokine CXCL10Child, PreschoolFemaleHumansInfantInterferon-gammaInterferon-gamma Release TestsMaleMycobacterium tuberculosisProspective StudiesTuberculin TestTuberculosisChemokine CXCL10CXCL10 protein, humanInterferon-gamma

Identifiers

PMID27642776
PMCPMC5108305
OpenAlexW2520825460

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.