Evidence map›Paper›PMID 28464011›Full record

ArticlePloS one2017

A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.

Selena Ferrian, Claudia Manca, Sugnet Lubbe, Francesca Conradie, Nazir Ismail, Gilla Kaplan, Clive M Gray, Dorothy Fallows

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.1field-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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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  18. High Frequencies of Caspase-3 ExpressingFrontiers in immunology · 2018
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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

8 authors at 6 institutions in 2 countries.

Selena FerrianDivision of Immunology, Institute of Infectious Disease and Molecular Medicine and National Health Laboratory Services, University of Cape Town, Cape Town, South Africa.
Claudia MancaPublic Health Research Institute, Rutgers University, Newark, New Jersey, United States of America.
Sugnet LubbeDepartment of Statistical Sciences, University of Cape Town, Cape Town, South Africa.
Francesca ConradieRight to Care and the Clinical HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa.
Nazir IsmailCentre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa.
Gilla KaplanBill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Clive M GrayDivision of Immunology, Institute of Infectious Disease and Molecular Medicine and National Health Laboratory Services, University of Cape Town, Cape Town, South Africa.
Dorothy FallowsPublic Health Research Institute, Rutgers University, Newark, New Jersey, United States of America.ORCID http://orcid.org/0000-0003-0362-3345
National Health Laboratory Service · ZARutgers, The State University of New Jersey · USGates Foundation · USNational Institute for Communicable DiseasesUniversity of Cape Town · ZAUniversity of the Witwatersrand · ZA

Funding

Emerging XDR-TB: Host and Pathogen ContributionsR01AI080737 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI FALLOWS, DOROTHY A. · 2009 to 2013
$2.9M
NIAID NIH HHS R01 AI080737
6 · The paper itself

Abstract

objectiveTo identify plasma markers predictive of therapeutic response in patients with multidrug resistant tuberculosis (MDR-TB).

methodsFifty HIV-negative patients with active pulmonary MDR-TB were analysed for six soluble analytes in plasma at the time of initiating treatment (baseline) and over six months thereafter. Patients were identified as sputum culture positive or negative at baseline. Culture positive patients were further stratified by the median time to sputum culture conversion (SCC) as fast responders (< 76 days) or slow responders (≥ 76 days). Chest X-ray scores, body mass index, and sputum smear microscopy results were obtained at baseline.

resultsUnsupervised hierarchical clustering revealed that baseline plasma levels of IP-10/CXCL10, VEGF-A, SAA and CRP could distinguish sputum culture and cavitation status of patients. Among patients who were culture positive at baseline, there were significant positive correlations between plasma levels of CRP, SAA, VEGF-A, sIL-2Rα/CD40, and IP-10 and delayed SCC. Using linear discriminant analysis (LDA) and Receiver Operating Curves (ROC), we showed that a combination of MCP-1/CCL2, IP-10, sIL-2Rα, SAA, CRP and AFB smear could distinguish fast from slow responders and were predictive of delayed SCC with high sensitivity and specificity.

conclusionPlasma levels of specific chemokines and inflammatory markers measured before MDR-TB treatment are candidate predictive markers of delayed SCC. These findings require validation in a larger study.

Indexed as

AdultAntitubercular AgentsBiomarkersChemokine CXCL10C-Reactive ProteinFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedPredictive Value of TestsSerum Amyloid A ProteinTuberculosis, Multidrug-ResistantVascular Endothelial Growth Factor AAntitubercular AgentsBiomarkersChemokine CXCL10C-Reactive ProteinCXCL10 protein, humanSerum Amyloid A ProteinVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID28464011
PMCPMC5413057
OpenAlexW2610423816

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.