Evidence map›Paper›PMID 28826451›Full record

SynthesisThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2017

Diagnostic accuracy of C-reactive protein for active pulmonary tuberculosis: a meta-analysis.

C Yoon, L H Chaisson, S M Patel, I E Allen, P K Drain, D Wilson, A Cattamanchi

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04557176 (TB Screening Improves Preventive Therapy Uptake Trial), which is not on this map. Cited by 78 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 5 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.

NCT04557176 naactive not recruitingnot on this mapstarted 2020, after this paper: background citation

TB Screening Improves Preventive Therapy Uptake Trial

TypeinterventionalSponsorUniversity of California, San FranciscoRan2020 to 2025Enrolled1,719ConditionsTuberculosis, Latent Tuberculosis, Tuberculosis Prevention, HIVArmsCRP, point-of-care assay
3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Evaluation of C-Reactive Protein and Computer-Aided Analysis of Chest X-rays as Tuberculosis Triage Tests at Health Facilities in Lesotho and South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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  9. Evaluating the Cepheid Xpert TB/LTBI Research-Use-Only Assay for Detection of Active and Latent Mycobacterium tuberculosis Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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18 more citing papers are in PubMed but not listed here.

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.

C YoonDepartment of Medicine, Division of Pulmonary & Critical Care Medicine.
L H ChaissonDepartment of Medicine, Division of Pulmonary & Critical Care Medicine.
S M PatelDepartment of Medicine, Division of General Medicine.
I E AllenDepartment of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, California.
P K DrainDepartment of Medicine, Department of Medicine, Division of Infectious Diseases, Harvard Medical School, Boston, Massachusetts, USA.
D WilsonDepartment of Internal Medicine, University of KwaZulu-Natal, Durban, South Africa.
A CattamanchiDepartment of Medicine, Division of Pulmonary & Critical Care Medicine.

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Evaluation of novel tuberculosis screening strategies for people living with HIVK23AI114363 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YOON, CHRISTINA · 2014 to 2018
$943k
Clinic-based Screening to Prevent HIV-associated Cryptococcal MortalityK23AI108293 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAIN, PAUL K · 2014 to 2018
$928k
NHLBI NIH HHS L30 HL110240NIAID NIH HHS K23 AI108293NIAID NIH HHS K23 AI114363NIAID NIH HHS P30 AI027763PEPFAR
6 · The paper itself

Abstract

settingSystematic screening for active pulmonary tuberculosis (PTB) is recommended for high-risk populations, including people living with the human immunodeficiency virus (PLHIV); however, currently recommended TB screening tools are inadequate for most high-burden settings.

objectiveTo determine whether C-reactive protein (CRP) possesses the necessary test characteristics to screen individuals for active PTB.

designWe performed a systematic review and meta-analysis of studies evaluating the diagnostic accuracy of CRP (10 mg/l cut-off point) for culture-positive PTB. Pooled diagnostic accuracy estimates were generated using random-effects meta-analysis for out-patients and in-patients, and for pre-specified subgroups based on HIV status and test indication.

resultsWe identified nine unique studies enrolling 1793 adults from out-patient (five studies, 1121 patients) and in-patient settings (five studies, 672 patients), 72% of whom had confirmed HIV infection. Among out-patients, CRP had high sensitivity (93%, 95%CI 88-98) and moderate specificity (60%, 95%CI 40-75) for active PTB. Specificity was lowest among in-patients (21%, 95%CI 6-52) and highest among out-patients undergoing TB screening (range 58-81%). There was no difference in summary estimates by HIV status.

conclusionCRP, which is available as a simple, inexpensive and point-of-care test, can be used to screen PLHIV presenting for routine HIV/AIDS (acquired immune-deficiency syndrome) care for active TB.

Indexed as

C-Reactive ProteinHIV InfectionsHumansMass ScreeningMycobacterium tuberculosisOutpatientsPoint-of-Care TestingSensitivity and SpecificitySputumTuberculosis, PulmonaryC-Reactive Protein

Identifiers

PMID28826451
PMCPMC5633000

What OpenQuestion holds

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Registered trials

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.