ReviewThe Indian journal of medical research2019
Microbiological diagnosis of tuberculous meningitis: Phenotype to genotype.
Review in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Microbiological diagnosis and mortality of tuberculosis meningitis: Systematic review and meta-analysis.PloS one · 2023Pooled it
- Diagnostic Accuracy of Interferon-Gamma Release Assays for Tuberculous Meningitis: A Systematic Review and Meta-Analysis.Frontiers in cellular and infection microbiology · 2022Pooled it
- Documented inpatient aspirin use and in-hospital mortality in non-HIV tuberculous meningitis: a propensity score-weighted retrospective cohort study.Frontiers in medicine · 2026Article
- Nanopore-targeted sequencing (NTS) for intracranial tuberculosis: a promising and reliable approach.Annals of clinical microbiology and antimicrobials · 2024Article
- Assessment of Clinical, Histopathologic, and Radiologic Features in Extrapulmonary Tuberculosis Patients.Tanaffos · 2024Article
- Article
- Recent advances in microbiological and molecular biological detection techniques of tuberculous meningitis.Frontiers in microbiology · 2023Review
- Tumour-like presentation of brainstem tuberculoma: a lesson learnt.BMJ case reports · 2022Article
- 18FDG-Positron Emission Tomography in patients with Tuberculous Meningitis: A Prospective Evaluation.The American journal of tropical medicine and hygiene · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculous meningitis (TBM) is a commonly encountered central nervous system infection. Characteristic clinical, imaging and cerebrospinal fluid parameters help clinicians to make a prompt presumptive diagnosis that enables them to start empirical anti-tuberculosis treatment. There are several close mimic to TBM, such as partially treated pyogenic meningitis, fungal meningitis, sarcoidosis, meningeal metastases and meningeal lymphomatosis. Microbiological confirmation instils a sense of confidence amongst treating physicians. With conventional phenotypic methods (cerebrospinal fluid microscopy and culture), in more than 50 per cent patients, microbiological confirmation is not achieved. Moreover, these methods take a long time before providing conclusive results. Negative result does not rule out Mycobacterium tuberculosis infection of the brain. Genotypic methods, such as IS 6110 polymerase chain reaction and automated Xpert M. tuberculosis/rifampicin (MTB/RIF) assay system improved the TBM diagnostics, as results are rapidly available. Xpert MTB/RIF assay, in addition, detects rifampicin resistance. Xpert MTB/RIF Ultra is advanced technology which has higher (60-70%) sensitivity and is being considered a game-changer in the diagnostics of TBM. A large number of TBM cases remain unconfirmed. The situation of TBM diagnostics will remain grim, if low-cost technologies are not widely available. Till then, physicians continue to rely on their clinical acumen to start empirical anti-tuberculosis treatment.
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Registered trials
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.