Evidence map›Paper›PMID 25979526›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2015

Programmatic treatment outcomes in HIV-infected and uninfected drug-resistant TB patients in Khayelitsha, South Africa.

Erika Mohr, Vivian Cox, Lynne Wilkinson, Sizulu Moyo, Jennifer Hughes, Johnny Daniels, Odelia Muller, Helen Cox

Abstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Improved Survival and Cure Rates With Concurrent Treatment for Multidrug-Resistant Tuberculosis-Human Immunodeficiency Virus Coinfection in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Article
  9. Article
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  11. Observational
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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.

Erika MohrMédecins Sans Frontières (MSF), Khayelitsha, Cape Town, South Africa msfocb-khayelitsha-drtb-epi@brussels.msf.org.
Vivian CoxMédecins Sans Frontières (MSF), Khayelitsha, Cape Town, South Africa.
Lynne WilkinsonMédecins Sans Frontières (MSF), Khayelitsha, Cape Town, South Africa.
Sizulu MoyoMédecins Sans Frontières (MSF), Khayelitsha, Cape Town, South Africa.
Jennifer HughesMédecins Sans Frontières (MSF), Khayelitsha, Cape Town, South Africa.
Johnny DanielsMédecins Sans Frontières (MSF), Khayelitsha, Cape Town, South Africa.
Odelia MullerMédecins Sans Frontières (MSF), Khayelitsha, Cape Town, South Africa.
Helen CoxUniversity of Cape Town, Division of Medical Microbiology and Institute of Infectious Disease and Molecular Medicine, Cape Town, South Africa.

Funding

Wellcome Trust 085215Wellcome Trust 099818
6 · The paper itself

Abstract

backgroundSouth Africa has high burdens of HIV, TB and drug-resistant TB (DR-TB, rifampicin-resistance). Treatment outcome data for HIV-infected versus uninfected patients is limited. We assessed the impact of HIV and other factors on DR-TB treatment success, time to culture conversion, loss-from-treatment and overall mortality after second-line treatment initiation.

methodsA retrospective cohort analysis was conducted for patients initiated on DR-TB treatment from 2008 to 2012, within a community-based, decentralised programme in Khayelitsha, South Africa.

resultsAmong 853 confirmed DR-TB patients initiating second-line treatment, 605 (70.9%) were HIV infected. HIV status did not impact on time to sputum culture conversion nor did it impact treatment success; 48.1% (259/539) and 45.9% (100/218), respectively (p=0.59). In a multivariate model, HIV was not associated with treatment success. Death during treatment was higher among HIV-infected patients, but overall mortality was not significantly higher. HIV-infected patients with CD4 <=100 cells/ml were significantly more likely to die after starting treatment.

conclusionsResponse to DR-TB treatment did not differ with HIV infection in a programmatic setting with access to antiretroviral treatment (ART). Earlier ART initiation at a primary care level could reduce mortality among HIV-infected patients presenting with low CD4 counts.

Indexed as

HIV InfectionsAdolescentAdultAntitubercular AgentsCD4 Lymphocyte CountCoinfectionFemaleHumansLogistic ModelsMaleMiddle AgedOutcome Assessment, Health CareRetrospective StudiesSouth AfricaTuberculosis, Multidrug-ResistantYoung AdultAntitubercular AgentsARTDR-TBHIVProgrammatic treatment outcomes

Identifiers

PMID25979526
PMCPMC6548549

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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.