ArticleFrontiers in neurology2022
A New Scoring System to Differentially Diagnose and Distinguish Tuberculous Meningitis and Bacterial Meningitis in South China.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Clinical scoring systems for diagnosing tuberculous meningitis: A systematic review.World journal of critical care medicine · 2026Article
- Diagnosis of Tuberculous Meningitis: Integrating Clinical Assessment and Molecular Diagnostics.Diagnostics (Basel, Switzerland) · 2026Review
- Tuberculous Meningitis Across the Lifespan.The Journal of infectious diseases · 2025Review
- Development and validation of a diagnostic model for tuberculous meningitis based on laboratory data.Frontiers in cellular and infection microbiology · 2025Article
- Diagnostic performance and clinical utility of metagenomic next-generation sequencing in suspected central nervous system infections: a prospective comparative study.Frontiers in cellular and infection microbiology · 2025Article
- Recent advances in microbiological and molecular biological detection techniques of tuberculous meningitis.Frontiers in microbiology · 2023Review
- Diagnosis and ECMO Treatment of a Critically Ill Patient With DisseminatedFrontiers in public health · 2022Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Tuberculous meningitis (TBM) is the most serious form of extrapulmonary tuberculosis caused by Methods: A retrospective study was conducted to compare the clinical and laboratory characteristics of 114 patients with TBM and 47 with BM. Multivariate logistic regression analysis was performed on the characteristics of independently predicted TBM to develop a new diagnostic rule. Results: Five characteristics were predictive of a diagnosis of TBM: duration of symptoms before admission; tuberculous symptoms; white blood cell (WBC) count, total cerebrospinal fluid WBC count, and cerebrospinal fluid chloride concentration. The sensitivity and specificity of the new scoring system developed in this study were 81.6 and 93.6%, respectively. Conclusion: The new scoring system proposed in this study can help physicians empirically diagnose TBM and can be used in countries and regions with limited microbial and radiological resources.
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