ReviewMetabolites2021
CSF Metabolomics of Tuberculous Meningitis: A Review.
Review in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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
10 citing papers in PubMed, 17 citations in OpenAlex.
- Insights from LC-MS-based cerebrospinal fluid metabolomics in tuberculous meningitis.Frontiers in molecular biosciences · 2026Article
- Machine learning models based on laboratory data: new insight into the differential diagnosis of tuberculous and viral meningitis.Frontiers in cellular and infection microbiology · 2026Article
- Characterizing tuberculous meningitis in a South African pediatric cohort using GCxGC-TOFMS metabolomics.Medical microbiology and immunology · 2025Article
- CSF carnitine is a potential biomarker in paediatric tuberculous meningitis.Scientific reports · 2025Article
- Untargeted metabolomic profiling reveals molecular signatures associated with type 2 diabetes in Nigerians.Genome medicine · 2024Article
- First detection of bovine tuberculosis by Ziehl-Neelsen staining and polymerase chain reaction at dairy farms in the Lekok Sub-District, Pasuruan Regency, and Surabaya region, Indonesia.Veterinary world · 2024Article
- Article
- The diagnosis of tuberculous meningitis: advancements in new technologies and machine learning algorithms.Frontiers in microbiology · 2023Review
- Cerebrospinal fluid analysis: current diagnostic methods in central nervous system infectious diseases.Arquivos de neuro-psiquiatria · 2022Article
- Tuberculous Meningitis in Children: Reducing the Burden of Death and Disability.Pathogens (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From the World Health Organization's global TB report for 2020, it is estimated that in 2019 at least 80,000 children (a particularly vulnerable population) developed tuberculous meningitis (TBM)-an invariably fatal disease if untreated-although this is likely an underestimate. As our latest technologies have evolved-with the unprecedented development of the various "omics" disciplines-a mountain of new data on infectious diseases have been created. However, our knowledge and understanding of infectious diseases are still trying to keep pace. Metabolites offer much biological information, but the insights they permit can be difficult to derive. This review summarizes current metabolomics studies on cerebrospinal fluid (CSF) from TBM cases and collates the metabolic data reported. Collectively, CSF metabolomics studies have identified five classes of metabolites that characterize TBM: amino acids, organic acids, nucleotides, carbohydrates, and "other". Taken holistically, the information given in this review serves to promote the mechanistic action of hypothesis generation that will drive and direct future studies on TBM.
Indexed as
Identifiers
What OpenQuestion holds
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.