Evidence map›Paper›PMID 29029055›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2018

Prognostic Models for 9-Month Mortality in Tuberculous Meningitis.

Le Thi Phuong Thao, A Dorothee Heemskerk, Ronald B Geskus, Nguyen Thi Hoang Mai, Dang Thi Minh Ha, Tran Thi Hong Chau, Nguyen Hoan Phu, Nguyen Van Vinh Chau, Maxine Caws, Nguyen Huu Lan and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
9.2field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 113 citations in OpenAlex.

  1. A clinical practice guideline for tuberculous meningitis.The Lancet. Infectious diseases · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 2 countries.

Le Thi Phuong ThaoOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
A Dorothee HeemskerkOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Ronald B GeskusOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Nguyen Thi Hoang MaiHospital for Tropical Diseases.
Dang Thi Minh HaPham Ngoc Thach Hospital, Ho Chi Minh City, Vietnam.
Tran Thi Hong ChauOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Nguyen Hoan PhuHospital for Tropical Diseases.
Nguyen Van Vinh ChauHospital for Tropical Diseases.
Maxine CawsOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Nguyen Huu LanPham Ngoc Thach Hospital, Ho Chi Minh City, Vietnam.
Do Dang Anh ThuHospital for Tropical Diseases.
Nguyen Thuy Thuong ThuongOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Jeremy DayOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Jeremy J FarrarOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
M Estee TorokDepartment of Medicine, University of Cambridge, United Kingdom.
Nguyen Duc BangPham Ngoc Thach Hospital, Ho Chi Minh City, Vietnam.
Guy E ThwaitesOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Marcel WolbersOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Oxford University Clinical Research Unit · VNUniversity of Oxford · GBUniversity of Cambridge · GB

Funding

Department of HealthWellcome TrustWellcome Trust WT097147MA
6 · The paper itself

Abstract

Background: Tuberculous meningitis (TBM) is the most severe form of extrapulmonary tuberculosis. We developed and validated prognostic models for 9-month mortality in adults with TBM, with or without human immunodeficiency virus (HIV) infection. Methods: We included 1699 subjects from 4 randomized clinical trials and 1 prospective observational study conducted at 2 major referral hospitals in Southern Vietnam from 2001-2015. Modeling was based on multivariable Cox proportional hazards regression. The final prognostic models were validated internally and temporally and were displayed using nomograms and a Web-based app (https://thaole.shinyapps.io/tbmapp/). Results: 951 HIV-uninfected and 748 HIV-infected subjects with TBM were included; 219 of 951 (23.0%) and 384 of 748 (51.3%) died during 9-month follow-up. Common predictors for increased mortality in both populations were higher Medical Research Council (MRC) disease severity grade and lower cerebrospinal fluid lymphocyte cell count. In HIV-uninfected subjects, older age, previous tuberculosis, not receiving adjunctive dexamethasone, and focal neurological signs were additional risk factors; in HIV-infected subjects, lower weight, lower peripheral blood CD4 cell count, and abnormal plasma sodium were additional risk factors. The areas under the receiver operating characteristic curves (AUCs) for the final prognostic models were 0.77 (HIV-uninfected population) and 0.78 (HIV-infected population), demonstrating better discrimination than the MRC grade (AUC, 0.66 and 0.70) or Glasgow Coma Scale score (AUC, 0.68 and 0.71) alone. Conclusions: The developed models showed good performance and could be used in clinical practice to assist physicians in identifying patients with TBM at high risk of death and with increased need of supportive care.

Indexed as

Models, TheoreticalAdultAge FactorsCoinfectionFemaleHIV InfectionsHumansMaleMiddle AgedMycobacterium tuberculosisNomogramsObservational Studies as TopicPrognosisProportional Hazards ModelsRandomized Controlled Trials as TopicROC CurveHIVmortalityprognostic modelstuberculous meningitis

Identifiers

PMID29029055
PMCPMC5850565
OpenAlexW2758427704

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.