ArticleJournal of clinical microbiology2026
Etiologic diagnosis of suspected tuberculous meningitis by multiplex PCR of cerebrospinal fluid.
Haohao Wang, Mingxiang Huang, Jiabao Song, Jinding Zhang, Shangying Yang, Xiaoxing Zhang, Yongzhen He, Yiqun Liao, Ye Xu, Qingge Li
Abstract readEvaluation Study
In one paragraphArticle in Journal of clinical microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Haohao Wang *Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.ORCID 0009-0004-9524-9104 Mingxiang Huang *Fuzhou Pulmonary Hospital, Fuzhou, Fujian, China.
Jiabao Song *Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.ORCID 0009-0008-5545-804X Jinding ZhangEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Shangying YangFuzhou Pulmonary Hospital, Fuzhou, Fujian, China.
Xiaoxing ZhangEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Yongzhen HeEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Yiqun LiaoEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.ORCID 0000-0003-2585-0688 Ye XuEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.ORCID 0000-0001-5066-4698 Qingge LiEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, Xiamen Key Laboratory of Multi-Target and Automated Genetic Testing, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.ORCID 0000-0002-3431-138X Funding
Fujian Provincial Social Development University-Industry Cooperation Project 2025Y4003Guiding Project of the Fujian Scientific and Technological Program 2023D012National Natural Science Foundation of China 82472368National Science and Technology Major Project 2025ZD01907003Scientific Research Foundation of State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory 2025XAKJ0103004
6 · The paper itselfAbstract
Distinguishing tuberculous meningitis (TBM) from other causes of meningitis remains challenging in high-burden settings because clinical features overlap and existing assays often delay etiologic confirmation. We evaluated MeltArray CNS, a highly multiplexed PCR assay targeting 85 meningitis-associated pathogens, for etiologic diagnosis in patients with suspected meningitis. Analytical performance was assessed using pre-characterized targets. MeltArray was compared head-to-head with metagenomic next-generation sequencing (mNGS) in 79 cerebrospinal fluid (CSF) specimens, with discrepant results adjudicated by Sanger sequencing, and was then prospectively evaluated in 255 consecutive patients with suspected meningitis. Biomarker-based models using routine CSF and serum parameters were also explored. The assay achieved limits of detection of 5 copies/reaction for IMPORTANCE: Tuberculous meningitis (TBM) is a life-threatening infection that requires a rapid and accurate diagnosis to guide effective treatment. Conventional diagnostic methods are often slow or insufficiently sensitive, leading to delays in therapy and potential exposure to unnecessary medications. In this study, we evaluated a rapid multiplex molecular assay for patients with suspected tuberculous meningitis. Rapid detection of
Indexed as
Cerebrospinal FluidMolecular Diagnostic TechniquesMultiplex Polymerase Chain ReactionMycobacterium tuberculosisTuberculosis, MeningealAdolescentAdultAgedBiomarkersFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedProspective StudiesSensitivity and SpecificityBiomarkersbiomarker differentiationcerebrospinal fluidMeltArraymNGSmultiplex PCRMycobacterium tuberculosisrapid diagnosticstuberculous meningitis
Identifiers
PMID42623488
PMCPMC13560704
What OpenQuestion holds
Textmetadata
Read underepoch 390