Evidence map›Paper›PMID 39880818›Full record

ArticleScientific reports2025

Comparison of mNGS with conventional methods for diagnosis of cryptococcal meningitis: a retrospective study.

Zai-Jie Jiang, Jian-Chen Hong, Bi-Wei Lin, Wei-Qing Zhang, Qi-Chao Fan, Bi-Hui Yang, Xiang-Ping Yao

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Chronic meningitis: diagnostic and therapeutic challenges.Current opinion in infectious diseases · 2025
    Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zai-Jie Jiang *Fujian Key Laboratory of Molecular Neurology, Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, 350005, China.
Jian-Chen Hong *Department of Gastrointestinal Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Bi-Wei LinFujian Key Laboratory of Molecular Neurology, Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, 350005, China.
Wei-Qing ZhangDepartment of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Qi-Chao FanDepartment of Infectious Disease, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Bi-Hui YangFujian Key Laboratory of Molecular Neurology, Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, 350005, China.
Xiang-Ping YaoFujian Key Laboratory of Molecular Neurology, Department of Neurology, Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, 350005, China. yaoxiangping@fjmu.edu.cn.

Funding

Joint Funds for the Innovation of Science and Technology, Fujian Province 2020Y93010140National Natural Science Foundation of China 82171841Startup Fund for Scientific Research of Fujian Medical University 2019XQ1079
6 · The paper itself

Abstract

The application of metagenomic next-generation sequencing (mNGS) in the diagnosis of cryptococcal meningitis is relatively under characterized. Here, we retrospectively evaluated data from cryptococcal meningitis patients who were tested using mNGS and/or routine testing, including fungal culture, India ink staining, and cryptococcal antigen (CrAg) testing. The performance of mNGS was then assessed. Initial cerebrospinal fluid (CSF) samples were collected from 65 patients with suspected central nervous system (CNS) infection and tested using conventional tests and/or mNGS. mNGS offers a culture-independent approach, facilitating a rapid and unbiased detection of a broad spectrum of pathogens. Patients with bacterial tuberculous or viral meningitis were used as mNGS-positive controls and one autoimmune encephalitis patient was used as an mNGS-negative control. In the 45 patients diagnosed with cryptococcal meningitis, the sensitivity, specificity, positive predictive value, negative predictive value, and concordance rate of mNGS were 92%, 100%, 100%, 90.9%, and 95.6%, respectively. Compared to conventional methods, the sensitivity of mNGS was slightly lower than CrAg tests (96.7%) but higher than India ink (79.5%) and culturing (63.4%). Of the two negative mNGS cases (2/25, 8.0%), one was positive by India ink staining, culture, and CrAg testing, while the other was positive only by CrAg testing. A combination of mNGS and conventional methods enhanced the detection rate to 100%. Our study demonstrates that both CrAg and mNGS offer excellent diagnostic accuracy for cryptococcal meningitis, and utilizing both tests can enhance clinical assessment and patient management.

Indexed as

High-Throughput Nucleotide SequencingMeningitis, CryptococcalMetagenomicsAdultAgedAntigens, FungalCryptococcusFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityYoung AdultAntigens, FungalCerebrospinal fluidConventional methodCryptococcal meningitisDiagnosisMetagenomic next-generation sequence

Identifiers

PMID39880818
PMCPMC11779966

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Registered trials

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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.