Evidence map›Paper›PMID 40017887›Full record

ArticleBMJ public health2023

Tuberculous meningitis patient pathways and delays to diagnosis in Indonesia: a retrospective cohort study.

Gerine Nijman, Darma Imran, Sofiati Dian, Ahmad Rizal Ganiem, Riwanti Estiasari, Kartika Maharani, Raesa Yolanda, Mimin Supriatin, Bachti Alisjahbana, Bony Wiem Lestari and 3 more

Abstract read
In one paragraph

Article in BMJ public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
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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

13 authors.

Gerine NijmanDepartment of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboudumc, Nijmegen, The Netherlands.ORCID 0000-0002-8716-6286
Darma ImranDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Sofiati DianDepartment of Neurology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Ahmad Rizal GaniemDepartment of Neurology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Riwanti EstiasariDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Kartika MaharaniDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Raesa YolandaDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Mimin SupriatinDepartment of Neurology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Bachti AlisjahbanaTuberculosis Working Group, Research Center for Care and Control of Infectious Disease, Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Bony Wiem LestariTuberculosis Working Group, Research Center for Care and Control of Infectious Disease, Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Raph L HamersOxford University Clinical Research Unit Indonesia, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Philip C HillCentre for International Health, Division of Health Sciences, University of Otago, Dunedin, New Zealand.
Reinout van CrevelDepartment of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboudumc, Nijmegen, The Netherlands.

Funding

ULTIMATER01AI145781 · NIAID · STICHTING RADBOUD UNIVERSITEIT · PI THWAITES, GUY, VAN CREVEL, REINOUT · 2019 to 2023
$4.4M
INTERCEPTR01AI165721 · NIAID · STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUM I.O. · PI Guy Thwaites, Reinout Van Crevel · 2022 to 2026
$2.7M
NIAID NIH HHS R01 AI145781NIAID NIH HHS R01 AI165721Wellcome Trust
6 · The paper itself

Abstract

Introduction: Delays in diagnosis and treatment contribute to high mortality of tuberculous meningitis (TBM). We studied TBM patient pathways including delays to diagnosis, and their alignment with available diagnostic services in Indonesia. Methods: We recruited patients admitted to two tertiary hospitals who started TBM treatment. Participants or their relatives were interviewed to recall healthcare visits preceding TBM treatment. We also surveyed available diagnostic capacity for TBM at hospitals that had been visited by at least two patients preceding their study enrolment. Results: Of 175 participants (median age 31 years, 57.1% men), 85.1% had reduced consciousness or coma, and 46.9% had motor deficits including hemiparesis. Patients attended a first healthcare provider, most often private clinics (38.3%) or informal healthcare providers (22.3%), at a median 14 days (IQR 1-34) after symptom onset. They visited multiple providers (median 5, IQR 3-8) over a prolonged time period (median 31 days, IQR 10-79) preceding TBM diagnosis. Of 40 surveyed hospitals, 52.5% could not or not always perform lumbar puncture, 22.5% lacked cerebral imaging facilities and 31.6% and 84.2%, respectively, could not provide routine microscopy or GeneXpert MTB/RIF on cerebrospinal fluid. Conclusion: In these urban settings in Indonesia, pathways to TBM diagnosis are complex and lengthy, and patients often visit healthcare providers with limited capacity to diagnose TBM. There is an urgent need for interventions to strengthen health literacy and diagnostic and referral processes in public and private health sectors for complex patient groups like TBM.

Indexed as

Communicable Disease ControlDisease Transmission, InfectiousPublic Health

Identifiers

PMID40017887
PMCPMC11812694

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.