Evidence map›Paper›PMID 29100778›Full record

Trial reportEBioMedicine2017

Biomarkers of Tuberculosis Severity and Treatment Effect: A Directed Screen of 70 Host Markers in a Randomized Clinical Trial.

G B Sigal, M R Segal, A Mathew, L Jarlsberg, M Wang, S Barbero, N Small, K Haynesworth, J L Davis, M Weiner and 5 more

Abstract readClinical Trial, Phase IIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in EBioMedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 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

72 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
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  7. Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
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  14. Article
  15. Tuberculosis: An Update for the Clinician.Respirology (Carlton, Vic.) · 2025
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

G B SigalMeso Scale Diagnostics, LLC, Rockville, MD, USA. Electronic address: gsigal@meso-scale.com.
M R SegalUniversity of California, San Francisco, CA, USA.
A MathewMeso Scale Diagnostics, LLC, Rockville, MD, USA.
L JarlsbergUniversity of California, San Francisco, CA, USA.
M WangMeso Scale Diagnostics, LLC, Rockville, MD, USA.
S BarberoMeso Scale Diagnostics, LLC, Rockville, MD, USA.
N SmallMeso Scale Diagnostics, LLC, Rockville, MD, USA.
K HaynesworthMeso Scale Diagnostics, LLC, Rockville, MD, USA.
J L DavisYale School of Public Health and Yale School of Medicine, New Haven, CT, USA.
M WeinerSan Antonio VA Medical Center, San Antonio, TX, USA.
W C WhitworthCenters for Disease Control and Prevention, Atlanta, GA, USA.
J JacobsPacific Northwest National Laboratory, Richland, WA, USA.
J SchoreyUniversity of Notre Dame, Notre Dame, IN, USA.
D M LewinsohnOregon Health and Science University, Portland, OR, USA.
P NahidUniversity of California, San Francisco, CA, USA. Electronic address: pnahid@ucsf.edu.

Funding

TB Surrogate Markers for Assessing Reponse to Treatment (TB SMART Study)R01AI104589 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAHID, PAYAM, SIGAL, GEORGE B · 2013 to 2017
$6.2M
NIAID NIH HHS R01 AI104589
6 · The paper itself

Abstract

More efficacious treatment regimens are needed for tuberculosis, however, drug development is impeded by a lack of reliable biomarkers of disease severity and of treatment effect. We conducted a directed screen of host biomarkers in participants enrolled in a tuberculosis clinical trial to address this need. Serum samples from 319 protocol-correct, culture-confirmed pulmonary tuberculosis patients treated under direct observation as part of an international, phase 2 trial were screened for 70 markers of infection, inflammation, and metabolism. Biomarker assays were specifically developed for this study and quantified using a novel, multiplexed electrochemiluminescence assay. We evaluated the association of biomarkers with baseline characteristics, as well as with detailed microbiologic data, using Bonferroni-adjusted, linear regression models. Across numerous analyses, seven proteins, SAA1, PCT, IL-1β, IL-6, CRP, PTX-3 and MMP-8, showed recurring strong associations with markers of baseline disease severity, smear grade and cavitation; were strongly modulated by tuberculosis treatment; and had responses that were greater for patients who culture-converted at 8weeks. With treatment, all proteins decreased, except for osteocalcin, MCP-1 and MCP-4, which significantly increased. Several previously reported putative tuberculosis-associated biomarkers (HOMX1, neopterin, and cathelicidin) were not significantly associated with treatment response. In conclusion, across a geographically diverse and large population of tuberculosis patients enrolled in a clinical trial, several previously reported putative biomarkers were not significantly associated with treatment response, however, seven proteins had recurring strong associations with baseline radiographic and microbiologic measures of disease severity, as well as with early treatment response, deserving additional study.

Indexed as

Severity of Illness IndexAdultAgedAntitubercular AgentsBiomarkersDrug CombinationsEthambutolFemaleHumansIsoniazidMaleMiddle AgedPyrazinamideRifampinTreatment OutcomeTuberculosis, PulmonaryAntitubercular AgentsBiomarkersDrug CombinationsEthambutolIsoniazidPyrazinamideRifampinBiomarkersClinical trialsHost immune responseTuberculosis

Identifiers

PMID29100778
PMCPMC5704068

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.