Evidence map›Paper›PMID 26717007›Full record

ArticlePloS one2015

The Impact and Cost-Effectiveness of a Four-Month Regimen for First-Line Treatment of Active Tuberculosis in South Africa.

Gwenan M Knight, Gabriela B Gomez, Peter J Dodd, David Dowdy, Alice Zwerling, William A Wells, Frank Cobelens, Anna Vassall, Richard G White

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
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  6. Review
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  10. Would pan-tuberculosis treatment regimens be cost-effective?The Lancet. Respiratory medicine · 2018
    Review
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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

9 authors at 6 institutions in 3 countries.

Gwenan M KnightCentre for Mathematical Modelling of Infectious Diseases, TB Centre, TB Modeling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Gabriela B GomezAmsterdam Institute for Global Health and Development and Department of Global Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Peter J DoddSchool of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.
David DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.
Alice ZwerlingDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.
William A WellsGlobal Alliance for TB Drug Development, New York, United States of America.
Frank CobelensAmsterdam Institute for Global Health and Development and Department of Global Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Anna VassallDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Richard G WhiteCentre for Mathematical Modelling of Infectious Diseases, TB Centre, TB Modeling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
London School of Hygiene & Tropical Medicine · GBJohns Hopkins University · USAcademic Medical Center · NLTB Alliance · USTuBerculosis Vaccine Initiative · NLUniversity of Sheffield · GB

Funding

Medical Research Council MR/J005088/1
6 · The paper itself

Abstract

backgroundA 4-month first-line treatment regimen for tuberculosis disease (TB) is expected to have a direct impact on patient outcomes and societal costs, as well as an indirect impact on Mycobacterium tuberculosis transmission. We aimed to estimate this combined impact in a high TB-burden country: South Africa.

methodAn individual based M. tb transmission model was fitted to the TB burden of South Africa using a standard TB natural history framework. We measured the impact on TB burden from 2015-2035 of introduction of a non-inferior 4-month regimen replacing the standard 6-month regimen as first-line therapy. Impact was measured with respect to three separate baselines (Guidelines, Policy and Current), reflecting differences in adherence to TB and HIV treatment guidelines. Further scenario analyses considered the variation in treatment-related parameters and resistance levels. Impact was measured in terms of differences in TB burden and Disability Adjusted Life Years (DALYs) averted. We also examined the highest cost at which the new regimen would be cost-effective for several willingness-to-pay thresholds.

resultsIt was estimated that a 4-month regimen would avert less than 1% of the predicted 6 million person years with TB disease in South Africa between 2015 and 2035. A similarly small impact was seen on deaths and DALYs averted. Despite this small impact, with the health systems and patient cost savings from regimen shortening, the 4-month regimen could be cost-effective at $436 [NA, 5983] (mean [range]) per month at a willingness-to-pay threshold of one GDP per capita ($6,618).

conclusionThe introduction of a non-inferior 4-month first-line TB regimen into South Africa would have little impact on the TB burden. However, under several scenarios, it is likely that the averted societal costs would make such a regimen cost-effective in South Africa.

Indexed as

Antitubercular AgentsCost-Benefit AnalysisHealth Care CostsHumansModels, EconomicMycobacterium tuberculosisQuality-Adjusted Life YearsRadionuclide ImagingSouth AfricaTuberculosisAntitubercular Agents

Identifiers

PMID26717007
PMCPMC4696677
OpenAlexW2196951170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.