Evidence map›Paper›PMID 41915543›Full record

ArticleBioanalysis2026

Biochemical characterization of cerebrospinal fluid in leptomeningeal carcinomatosis and infectious meningitis using the metabolic product model: a diagnostic performance evaluation in a single-center retrospective cohort.

Xianglei Li, Yanna Ning, Jiaoyang Xu, Biao Gao, Lina Huang, Yan Liu, Adi Idris

Abstract read
In one paragraph

Article in Bioanalysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Xianglei LiDepartment of Laboratory Medicine, Kaifeng Central Hospital, Kaifeng, Henan, China.
Yanna NingDepartment of Laboratory Medicine, Kaifeng Central Hospital, Kaifeng, Henan, China.
Jiaoyang XuDepartment of Laboratory Medicine, Kaifeng Central Hospital, Kaifeng, Henan, China.
Biao GaoDepartment of Laboratory Medicine, Kaifeng Central Hospital, Kaifeng, Henan, China.
Lina HuangDepartment of Laboratory Medicine, Kaifeng Central Hospital, Kaifeng, Henan, China.
Yan LiuDepartment of Laboratory Medicine, Kaifeng Central Hospital, Kaifeng, Henan, China.
Adi IdrisCentre for Immunology and Infection Control, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeptomeningeal metastasis (LM) and infectious meningitis often present with similar neurological symptoms, making clinical differentiation challenging. We retrospectively analyzed cerebrospinal fluid (CSF) biochemistry (lactate (LAC), lactate dehydrogenase (LDH), protein, glucose) in patients with confirmed LM and infectious meningitis (bacterial or viral) to delineate characteristic metabolic profiles. RESEARCH DESIGN AND

methodsIn this single-center retrospective cohort, we included 39 patients with cytology-confirmed LM, 38 with bacterial meningitis (BM), and 40 with viral meningitis (VM). We calculated an LDH × LAC product and compared its diagnostic performance to traditional biochemical markers using ROC analysis and DeLong tests for area under the curve differences.

resultsThe LDH×LAC index distinguished LM from VM and BM, outperforming the LDH/LAC ratio. Notably, 74.4% of LM patients had low CSF cell counts (≤50 × 10

conclusionsThese findings highlight that certain biochemical signatures can distinguish etiologies whereby high CSF lactate favors bacterial infection or aggressive tumor involvement, whereas normal glucose and low lactate favor viral causes. Our results emphasize distinct CSF signatures in neoplastic compared to infectious meningitis, suggesting metabolic profiling can aid diagnosis.

Indexed as

Meningeal CarcinomatosisMeningitis, BacterialMeningitis, ViralAdultAgedFemaleGlucoseHumansLactic AcidL-Lactate DehydrogenaseMaleMiddle AgedRetrospective StudiesGlucoseLactic AcidL-Lactate Dehydrogenasebacterial meningitisLeptomeningeal metastasismetabolic product modelviral meningitisWarburg effect

Identifiers

PMID41915543
PMCPMC13154985

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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.