Evidence map›Paper›PMID 27936146›Full record

ArticlePloS one2016

Performance of Clinical Screening Algorithms for Tuberculosis Intensified Case Finding among People Living with HIV in Western Kenya.

Surbhi Modi, Joseph S Cavanaugh, Ray W Shiraishi, Heather L Alexander, Kimberly D McCarthy, Barbara Burmen, Hellen Muttai, Chad M Heilig, Allyn K Nakashima, Kevin P Cain

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 8 pooled it
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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

32 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  4. A systematic review of the number needed to screen for active TB among people living with HIV.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
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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

10 authors.

Surbhi ModiDivision of Global HIV & TB, United States Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.ORCID http://orcid.org/0000-0003-2143-672X
Joseph S CavanaughDivision of Tuberculosis Elimination, CDC, Atlanta, Georgia, United States of America.
Ray W ShiraishiDivision of Global HIV & TB, United States Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
Heather L AlexanderDivision of Global HIV & TB, United States Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
Kimberly D McCarthyDivision of Tuberculosis Elimination, CDC, Atlanta, Georgia, United States of America.
Barbara BurmenKenya Medical Research Institute (KEMRI) Center for Global Health Research, Kisumu, Kenya.
Hellen MuttaiCDC, Kisumu, Kenya.
Chad M HeiligDivision of Tuberculosis Elimination, CDC, Atlanta, Georgia, United States of America.
Allyn K NakashimaDivision of Global HIV & TB, United States Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America.
Kevin P CainDivision of Tuberculosis Elimination, CDC, Atlanta, Georgia, United States of America.

Funding

CGH CDC HHS U19 GH000041
6 · The paper itself

Abstract

objectiveTo assess the performance of symptom-based screening for tuberculosis (TB), alone and with chest radiography among people living with HIV (PLHIV), including pregnant women, in Western Kenya.

designProspective cohort study.

methodsPLHIV from 15 randomly-selected HIV clinics were screened with three clinical algorithms [World Health Organization (WHO), Ministry of Health (MOH), and "Improving Diagnosis of TB in HIV-infected persons" (ID-TB/HIV) study], underwent chest radiography (unless pregnant), and provided two or more sputum specimens for smear microscopy, liquid culture, and Xpert MTB/RIF. Performance of clinical screening was compared to laboratory results, controlling for the complex design of the survey.

resultsOverall, 738 (85.6%) of 862 PLHIV enrolled were included in the analysis. Estimated TB prevalence was 11.2% (95% CI, 9.9-12.7). Sensitivity of the three screening algorithms was similar [WHO, 74.1% (95% CI, 64.1-82.2); MOH, 77.5% (95% CI, 68.6-84.5); and ID-TB/HIV, 72.5% (95% CI, 60.9-81.7)]. Sensitivity of the WHO algorithm was significantly lower among HIV-infected pregnant women [28.2% (95% CI, 14.9-46.7)] compared to non-pregnant women [78.3% (95% CI, 67.3-86.4)] and men [77.2% (95% CI, 68.3-84.2)]. Chest radiography increased WHO algorithm sensitivity and negative predictive value to 90.9% (95% CI, 86.4-93.9) and 96.1% (95% CI, 94.4-97.3), respectively, among asymptomatic men and non-pregnant women.

conclusionsClinical screening missed approximately 25% of laboratory-confirmed TB cases among all PLHIV and more than 70% among HIV-infected pregnant women. National HIV programs should evaluate the feasibility of laboratory-based screening for TB, such as a single Xpert MTB/RIF test for all PLHIV, especially pregnant women, at enrollment in HIV services.

Indexed as

AdolescentAdultFemaleHIV InfectionsHumansKenyaMaleMass Chest X-RayMiddle AgedPregnancyProspective StudiesTuberculosisYoung Adult

Identifiers

PMID27936146
PMCPMC5147932

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Registered trials

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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.