Evidence map›Paper›PMID 38482149›Full record

ArticleThe Lancet regional health. Southeast Asia2024

Management of drug-resistant tuberculosis in Indonesia: a four-year cascade of care analysis.

Bony Wiem Lestari, Gerine Nijman, Alamanda Larasmanah, Arto Yuwono Soeroto, Prayudi Santoso, Bachti Alisjahbana, Lidya Chaidir, Basti Andriyoko, Reinout van Crevel, Philip C Hill

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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.

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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Bony Wiem LestariDepartment of Public Health, Faculty of Medicine, Universitas Padjadjaran, Jalan Professor Eyckman No. 38, Kota Bandung, Jawa Barat 40161, Indonesia.
Gerine NijmanDepartment of Internal Medicine, Radboud Centre for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
Alamanda LarasmanahTuberculosis Working Group, Research Center for Care and Control of Infectious Disease, Faculty of Medicine, Universitas Padjadjaran, Jalan Professor Eyckman No. 38, Kota Bandung, Jawa Barat 40161, Indonesia.
Arto Yuwono SoerotoDepartment of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Jalan Pasteur No. 38, Kota Bandung, Jawa Barat 40161, Indonesia.
Prayudi SantosoDepartment of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Jalan Pasteur No. 38, Kota Bandung, Jawa Barat 40161, Indonesia.
Bachti AlisjahbanaTuberculosis Working Group, Research Center for Care and Control of Infectious Disease, Faculty of Medicine, Universitas Padjadjaran, Jalan Professor Eyckman No. 38, Kota Bandung, Jawa Barat 40161, Indonesia.
Lidya ChaidirTuberculosis Working Group, Research Center for Care and Control of Infectious Disease, Faculty of Medicine, Universitas Padjadjaran, Jalan Professor Eyckman No. 38, Kota Bandung, Jawa Barat 40161, Indonesia.
Basti AndriyokoDepartment of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Jalan Pasteur No. 38, Kota Bandung, Jawa Barat 40161, Indonesia.
Reinout van CrevelDepartment of Internal Medicine, Radboud Centre for Infectious Diseases (RCI), Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
Philip C HillCentre for International Health, Division of Health Sciences, University of Otago, 55 Hanover Street, Dunedin 9016, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Indonesia, drug resistance testing for TB largely relies on Xpert MTB/RIF, and it is unknown what proportion of drug-resistant (DR) TB is adequately diagnosed and treated. Methods: We conducted a cascade of care analysis on a cohort of presumptive rifampicin-resistant (RR) TB patients registered in 2015-2018 in a tertiary hospital in Indonesia. Estimated incidences of (presumptive) DR-TB cases were assumption-based using global reports. Data on diagnosis and consecutive cascades steps, including their timing were collected from national electronic registers, and medical records. We described a secondary cascade for patients receiving treatment not supported by phenotypic drug susceptibility testing (pDST). Factors associated with delay and loss between diagnosis and treatment were identified using logistic regression. Findings: Less than a third of estimated incident TB cases at risk of DR-TB were identified as presumptive DR-TB case and tested, and 9.8% (982/10,065) of estimated true DR-TB cases was diagnosed. Of those diagnosed, only 45.1% (443/982) had treatment regimens supported by pDST results, but this did not significantly influence treatment outcomes. Only 25.5% (250/982) of diagnosed patients completed all steps of the cascade including successful treatment. Delays between diagnosis and treatment were substantial, and more common among those referred from a primary healthcare facility, and among those who were employed, living outside of Bandung, and reporting engagement with the private sector. Interpretation: The DR-TB care cascade in this urban setting in Indonesia is characterized by substantial attrition and delays. Strategies to increase access to DR-TB diagnosis accompanied by optimisation of clinical care could substantially improve outcomes and reduce onward transmission. Funding: Radboud university medical center and University of Otago.

Indexed as

Care continuityCascade of careDrug-resistant tuberculosisPhenotypic drug sensitivity testing

Identifiers

PMID38482149
PMCPMC10934335

What OpenQuestion holds

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Registered trials

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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.