Evidence map›Paper›PMID 39116052›Full record

ArticlePLOS global public health2024

Comparing the cost-effectiveness of the MPT64-antigen detection test to Xpert MTB/RIF and ZN-microscopy for the diagnosis of Extrapulmonary Tuberculosis: An economic evaluation modelling study.

Shoaib Hassan, Tehmina Mustafa, William Muller, Lisete Torres, Msafiri Marijani, Esther Ngadaya, Sayoki Mfinanga, Yakobo Lema, Erlend Grønningen, Melissa Jorstad and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Health-related quality of life among extrapulmonary tuberculosis patients and inequalities by disease manifestations: a longitudinal study analysing the impact of TB treatment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  2. Article
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

12 authors.

Shoaib HassanDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0002-4487-4020
Tehmina MustafaDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
William MullerNational Institute for Medical Research, Dar es Salaam, The United Republic of Tanzania.
Lisete TorresNational Institute for Medical Research, Dar es Salaam, The United Republic of Tanzania.
Msafiri MarijaniMnazi Mmoja Referral Hospital, Zanzibar, The United Republic of Tanzania.
Esther NgadayaNational Institute for Medical Research, Dar es Salaam, The United Republic of Tanzania.
Sayoki MfinangaNational Institute for Medical Research, Dar es Salaam, The United Republic of Tanzania.
Yakobo LemaNational Institute for Medical Research, Dar es Salaam, The United Republic of Tanzania.ORCID https://orcid.org/0009-0006-4572-2447
Erlend GrønningenDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0002-4414-5426
Melissa JorstadDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Ole NorheimDepartment of Global Public Health and Primary Care, Bergen Centre for Ethics and Priority Setting in Health, University of Bergen, Bergen, Norway.
Bjarne RobberstadDepartment of Global Public Health and Primary Care, Health Economics, Leadership and Translational Research Group, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0002-0708-2016

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extrapulmonary Tuberculosis (EPTB) poses challenges from patient and health system perspectives. The cost-effectiveness analysis of the Xpert MTB/RIF (Xpert) test to diagnose pulmonary tuberculosis is documented. However, there are no economic evaluations for EPTB. Considering the reported better diagnostic sensitivity of the MPT64 test, this study explored its cost-effectiveness as an alternative diagnostic test. We conducted this economic evaluation to assess the cost-effectiveness of the MPT64 test compared to Xpert and ZN microscopy for EPTB adult patients. We utilised a Markov modelling approach to capture short- and long-term costs and benefits from a health system perspective. For the model inputs, we combined data from our cohort studies in Tanzania and peer-reviewed EPTB literature. We calculated the Incremental Cost Effectiveness Ratio (ICER) by comparing the cost (in USD) of each diagnostic test and Quality Adjusted Life Years (QALYs) as health gain. We found the MPT64 test cost-effective for EPTB diagnosis and absolutely dominated ZN microscopy and Xpert using the baseline model inputs. A scenario analysis showed that the Xpert test might be the most cost-effective at its higher test sensitivity, which corresponds to using it to diagnose lymph node aspirates. The prevalence of HIV among EPTB cases, their probability of treatment, costs of ART, and the probability of the MPT64 test in detecting EPTB patients were the main parameters associated with the highest impact on ICER in one-way deterministic analysis. The most cost-effective option for EPTB at the baseline parameters was the MPT64 diagnostic test. Including the MPT64 test in EPTB diagnostic pathways for previously untreated patients can lead to better resource use. The Xpert test was the most cost-effective diagnostic intervention at a higher diagnostic test sensitivity in scenario analyses based on different sites of infection, such as for the lymph node aspirates.

Identifiers

PMID39116052
PMCPMC11309377

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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.