Evidence map›Paper›PMID 24902551›Full record

ArticleThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2014

Derivation of a tuberculosis screening rule for sub-Saharan African prisons.

J B Harris, M Siyambango, E B Levitan, K R Maggard, S Hatwiinda, E M Foster, E Chamot, K Kaunda, C Chileshe, A Krüüner and 2 more

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In one paragraph

Article in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Prisoners co-infected with tuberculosis and HIV: a systematic review.Journal of the International AIDS Society · 2016
    Pooled it
  2. Article
  3. Two Clinical Prediction Tools to Improve Tuberculosis Contact Investigation.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  4. Article
  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

J B Harris<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
M Siyambango<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
E B Levitan<label><sup>‡</sup></label>Department of Epidemiology, Birmingham, Alabama, USA.
K R Maggard<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
S Hatwiinda<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
E M Foster<label><sup>§</sup></label>Department of Health Care Organization and Policy, University of Alabama at Birmingham, Alabama, USA.
E Chamot<label><sup>‡</sup></label>Department of Epidemiology, Birmingham, Alabama, USA.
K Kaunda<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
C Chileshe<label><sup>¶</sup></label>Zambia Prisons Service, Ministry of Home Affairs, Lusaka, Zambia.
A Krüüner<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
G Henostroza<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
S E Reid<label>*</label>Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Centre for Infectious Disease Research in Zambia · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingLusaka Central Prison, Zambia.

objectiveTo derive screening rules for tuberculosis (TB) using data collected during a prison-wide TB and human immunodeficiency virus (HIV) screening program.

designWe derived rules with two methodologies: logistic regression and classification and regression trees (C&RT). We evaluated the performance of the derived rules as well as existing World Health Organization (WHO) screening recommendations in our cohort of inmates, as measured by sensitivity, specificity, and positive and negative predictive values.

resultsThe C&RT-derived rule recommended diagnostic testing of all inmates who were underweight (defined as body mass index [BMI] < 18.5 kg/m(2)] or HIV-infected; the C&RT-derived rule had 60% sensitivity and 71% specificity. The logistic regression-derived rule recommended diagnostic testing of inmates who were underweight, HIV-infected or had chest pain; the logistic regression-derived rule had 74% sensitivity and 57% specificity. Two of the WHO recommendations had sensitivities that were similar to our logistic regression rule but had poorer specificities, resulting in a greater testing burden.

conclusionLow BMI and HIV infection were the most robust predictors of TB in our inmates; chest pain was additionally retained in one model. BMI and HIV should be further evaluated as the basis for TB screening rules for inmates, with modification as needed to improve the performance of the rules.

Indexed as

PrisonsAdultBody Mass IndexChest PainFemaleHIV InfectionsHumansLogistic ModelsMaleMass ScreeningPredictive Value of TestsPrisonersSensitivity and SpecificityTuberculosisWorld Health OrganizationZambia

Identifiers

PMID24902551
OpenAlexW2334423801

What OpenQuestion holds

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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.