Evidence map›Paper›PMID 21755390›Full record

ArticleJournal of clinical immunology2011

Endogenously activated interleukin-4 differentiates disease progressors and non-progressors in tuberculosis susceptible families: a 2-year biomarkers follow-up study.

Rabia Hussain, Najeeha Talat, Ambreen Ansari, Firdaus Shahid, Zahra Hasan, Ghaffar Dawood

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Rabia HussainDepartment of Pathology and Microbiology, Aga Khan University, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan. rabia.hussain@aku.edu
Najeeha Talat
Ambreen Ansari
Firdaus Shahid
Zahra Hasan
Ghaffar Dawood
Aga Khan University · PKKharadar General Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDynamic cytokine profiles from endogenously activated T cells in transit from lymph node to the infected sites via the blood compartment after recent exposure to Mycobacterium tuberculosis may differentiate disease progressors from non-disease progressors in a BCG-vaccinated population.

methodsHousehold contacts (N = 107) from families with (six families) or without (14 families) secondary cases were assessed for Types 1 and 2 cytokines serially in plasma of whole blood cultures without exogenous stimulation. "ARMS" PCR was carried out for detection of single nucleotide polymorphism T/A in IFN-γ +874.

resultsIn the absence of IFN-γ expansion, raised IL-4 at 6 months was associated with disease progression in TB-susceptible families. Resistant families on the other hand showed overrepresentation of IFN-γ +874 A allele and expansion of IFN-γ secreting cells at 6 months followed by contraction at 12 months.

conclusionSix months may be an important checkpoint for biomarker assessment in high-risk individuals post-exposure.

Indexed as

AdolescentAdultBiomarkersCells, CulturedChildDisease ProgressionDNA Mutational AnalysisFamilyFemaleFollow-Up StudiesGenetic Association StudiesGenetic Predisposition to DiseaseHumansImmunity, CellularInterferon-gammaInterleukin-4BiomarkersInterferon-gammaInterleukin-4

Identifiers

PMID21755390
OpenAlexW1988722624

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.