Observational studyPloS one2014
Directly-observed and self-administered tuberculosis treatment in a chronic, low-intensity conflict setting in India.
Observational study in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies.PLoS medicine · 2018Pooled it
- Article
- Ending tuberculosis: challenges and opportunities.Frontiers in tuberculosis · 2024Review
- TB treatment using family members, treatment supporters and self-administered therapies in rural Papua New Guinea.Public health action · 2023Article
- GeneXpert and Community Health Workers Supported Patient Tracing for Tuberculosis Diagnosis in Conflict-Affected Border Areas in India.Tropical medicine and infectious disease · 2019Article
- Perspectives on TB patients' care and support: a qualitative study conducted in Accra Metropolis, Ghana.Globalization and health · 2019Article
- Treatment of drug-susceptible tuberculosis among people living with human immunodeficiency virus infection: an update.Current opinion in HIV and AIDS · 2018Review
- Predictors of tuberculosis treatment outcomes among a retrospective cohort in rural, Central India.Journal of clinical tuberculosis and other mycobacterial diseases · 2018Article
- Tuberculosis-associated mortality in Shanghai, China: a longitudinal study.Bulletin of the World Health Organization · 2015Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLimited data are available about tuberculosis treatment models of care for internally displaced populations in chronic, low-intensity conflict zones. This study aimed to detail experiences of a Médecins Sans Frontières tuberculosis programme in Andhra Pradesh-Chhattisgarh border area, India, from January to December 2012.
methodsThe study was a description of two retrospective, observational cohorts receiving category I tuberculosis treatment, either intermittent directly observed treatment (DOT) or daily self-administered therapy (SAT) depending on the security of the area and access to health care services.
resultsA total of 55 and 17 new tuberculosis patients under DOT and SAT respectively, with complete outcomes were included in the study. Most patients registered were new cases suffering from pulmonary, smear-positive tuberculosis. More than half of the patients in both cohorts were cured or completed treatment: 38/55 (69%) patients were successfully treated under DOT compared to 9/17 (53%) under SAT. Of the patients with adverse outcomes, the ratios of loss to follow up: failure: died were 10:4:3 under DOT and 7:0:1 under SAT. A much smaller proportion of patients under DOT (18%) were lost to follow up than under SAT (41%). DISCUSSION: Maximum efforts are required to implement successful tuberculosis control programmes for internally displaced populations in conflict zones. Our study suggests that complete tuberculosis treatment can be given to patients using either intermittent DOT or daily SAT, depending on security and access to health services. National TB programmes should include SAT strategies for tuberculosis treatment as these may be an alternative feasible option in conflict settings.
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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.