Evidence map›Paper›PMID 25314255›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2014

Diagnostic delays and clinical decision making with centralized Xpert MTB/RIF testing in Durban, South Africa.

Gabriel M Cohen, Paul K Drain, Farzad Noubary, Christie Cloete, Ingrid V Bassett

Registry-linked trialAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01188941 (Linkage and Retention), which is not on this map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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.

NCT01188941 nacompletednot on this map

Linkage and Retention: A Randomized Trial to Optimize HIV/TB Care in South Africa

TypeinterventionalSponsorMassachusetts General HospitalRan2010 to 2015Enrolled1,899ConditionsHIVArmsHealth System Navigator
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  6. Article
  7. Article
  8. Article
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  13. Quality of TB care among people living with HIV: Gaps and solutions.Journal of clinical tuberculosis and other mycobacterial diseases · 2019
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Dynamic Clinical Algorithms: Digital Technology Can Transform Health Care Decision-Making.The American journal of tropical medicine and hygiene · 2018
    Article
  19. 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

5 authors.

Gabriel M Cohen*Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; †Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA; ‡Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA; §Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA; ‖The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA; ¶Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA; #McCord Hospital, Durban, KwaZulu-Natal, South Africa; and **Center for AIDS Research, Harvard Medical School, Boston, MA.
Paul K Drain
Farzad Noubary
Christie Cloete
Ingrid V Bassett

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Repurposing of a Long-Acting Parathyroid Hormone Analog for the Treatment of HypoparathyroidismZIATR000011 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI YANG, NA · 2015 to 2019
$8.2M
Linkage & Retention: A Randomized Trial to Optimize HIV/TB Care in South AfricaR01MH090326 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BASSETT, INGRID VALERIE · 2010 to 2014
$2.9M
FIC NIH HHS R24 TW007988FIC NIH HHS R24TW007988NCATS NIH HHS UL1TR000011NIAID NIH HHS T32 AI007433NIMH NIH HHS R01 MH090326
6 · The paper itself

Abstract

settingWe conducted a retrospective study among HIV-infected adult suspects (≥18 years) with pulmonary tuberculosis (TB), who underwent Xpert MTB/RIF (Xpert) testing at McCord Hospital and its adjoining HIV clinic in Durban, South Africa.

objectiveTo determine if Xpert testing performed at a centralized laboratory accelerated time to TB diagnosis.

designWe obtained data on sputum smear microscopy [acid-fast bacilli (AFB)], Xpert, and the rationale for treatment initiation from medical records. The primary outcome was "total diagnostic time," defined as time from sputum collection to clinicians' receipt of results. A linear mixed-effect model compared the duration of steps in the diagnostic pathway across testing modalities.

resultsAmong 403 participants, the median "total diagnostic time" for AFB and Xpert was 3.3 and 6.4 days, respectively (P < 0.001). When compared with AFB, the median delay for Xpert "laboratory processing" was 1.4 days (P < 0.001) and "result transfer to clinic" was 1.7 days (P < 0.001). Among 86 Xpert-positive participants who initiated treatment, 49 (57%) started treatment based on clinical suspicion or AFB-positive results, whereas only 32 (37%) started treatment based on Xpert-positive results.

conclusionsIn our setting, Xpert results took twice as long as AFB results to reach clinicians. Replacing AFB with centralized Xpert may delay TB diagnoses in some settings.

Indexed as

Delayed DiagnosisAdultAIDS-Related Opportunistic InfectionsBacterial ProteinsDecision MakingDNA, BacterialFemaleHIV InfectionsHumansMaleMiddle AgedMycobacterium tuberculosisNucleic Acid Amplification TechniquesRetrospective StudiesSensitivity and SpecificitySouth AfricaBacterial ProteinsDNA, Bacterial

Identifiers

PMID25314255
PMCPMC4197409

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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.