Evidence map›Paper›PMID 28061832›Full record

ArticleBMC infectious diseases2017

High rates of multidrug-resistant and rifampicin-resistant tuberculosis among re-treatment cases: where do they come from?

Romain Ragonnet, James M Trauer, Justin T Denholm, Ben J Marais, Emma S McBryde

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 56 citations in OpenAlex.

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  4. Multidrug-resistant tuberculosis.Nature reviews. Disease primers · 2024
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  6. Resistance to pyrazinamide inJournal of clinical tuberculosis and other mycobacterial diseases · 2024
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  8. Rifampicin resistantSAGE open medicine · 2023
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  9. Proportion and trend of primary resistance among Multidrug resistant Tuberculosis patients in Ethiopia.Journal of clinical tuberculosis and other mycobacterial diseases · 2022
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  11. Machine learning analysis of SERS fingerprinting for the rapid determination ofComputational and structural biotechnology journal · 2022
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  16. Impact of the Polymorphism of theIranian journal of medical sciences · 2019
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  19. The American journal of tropical medicine and hygiene · 2018
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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 at 5 institutions in 1 country.

Romain RagonnetFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia. romain.ragonnet@burnet.edu.au.
James M TrauerFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.
Justin T DenholmVictorian Tuberculosis Program, Melbourne Health, Melbourne, Australia.
Ben J MaraisMarie Bashir Institute and the Centre for Research Excellence in Tuberculosis, University of Sydney, Sydney, Australia.
Emma S McBrydeFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.
Australian Institute of Tropical Health and Medicine · AUMonash University · AUPeter Doherty Institute · AUUniversity of Melbourne · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally 3.9% of new and 21% of re-treatment tuberculosis (TB) cases are multidrug-resistant or rifampicin-resistant (MDR/RR), which is often interpreted as evidence that drug resistance results mainly from poor treatment adherence. This study aims to assess the respective contributions of the different causal pathways leading to MDR/RR-TB at re-treatment.

methodsWe use a simple mathematical model to simulate progression between the different stages of disease and treatment for patients diagnosed with TB. The model is parameterised using region and country-specific TB disease burden data reported by the World Health Organization (WHO). The contributions of four separate causal pathways to MDR/RR-TB among re-treatment cases are estimated: I) initial drug-susceptible TB with resistance amplification during treatment; II) initial MDR/RR-TB inappropriately treated as drug-susceptible TB; III) MDR/RR-TB relapse despite appropriate treatment; and IV) re-infection with MDR/RR-TB.

resultsAt the global level, Pathways I, II, III and IV contribute 38% (28-49, 95% Simulation Interval), 44% (36-52, 95% SI), 6% (5-7, 95% SI) and 12% (7-19, 95% SI) respectively to the burden of MDR/RR-TB among re-treatment cases. Pathway II is dominant in the Western Pacific (74%; 67-80 95% SI), Eastern Mediterranean (68%; 60-74 95% SI) and European (53%; 48-59 95% SI) regions, while Pathway I makes the greatest contribution in the American (53%; 40-66 95% SI), African (43%; 28-61 95% SI) and South-East Asian (50%; 40-59 95% SI) regions.

conclusionsGlobally, failure to diagnose MDR/RR-TB at first presentation is the leading cause of the high proportion of MDR/RR-TB among re-treatment cases. These findings highlight the need for contextualised solutions to limit the impact and spread of MDR/RR-TB.

Indexed as

Models, StatisticalAntitubercular AgentsHumansRetreatmentRifampinTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryWorld Health OrganizationAntitubercular AgentsRifampinCausal pathwayDrug resistance amplificationInappropriate therapyMisdiagnosisMultidrug-resistant tuberculosisRe-treatmentTuberculosis

Identifiers

PMID28061832
PMCPMC5217596
OpenAlexW2570881255

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.