Evidence map›Paper›PMID 42067788›Full record

ArticleBMC neurology2026

Development and validation of a diagnostic nomogram for post-neurosurgical bacterial meningitis.

Qinglei Zhong, Luqman Sadat Bathaiian, Yanhong Liu, Chunhai Tang

Abstract readValidation Study
In one paragraph

Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qinglei Zhong *Department of Emergency, Southern Medical University Nanfang Hospital, Southern Medical University, Guangzhou, China.
Luqman Sadat Bathaiian *Southern Medical University, Guangzhou, China.
Yanhong Liu *Department of Neurosurgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Chunhai TangDepartment of Neurosurgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. tiger.2000@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-neurosurgical bacterial meningitis (PNBM) is a severe complication after neurosurgery, and early diagnosis remains challenging. This study aimed to develop and validate a diagnostic nomogram for identifying PNBM in postoperative neurosurgical patients.

methodsPostoperative neurosurgical patients with clinically suspected meningitis admitted to the neurosurgical intensive care unit of Nanfang Hospital between January 15, 2020 and January 15, 2025 were retrospectively analyzed. A diagnostic nomogram was developed using multivariable logistic regression and internally validated using bootstrap resampling. An independent cohort (N = 63) enrolled between January 16, 2025 and December 16, 2025 was used for external validation. Diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analysis.

resultsCerebrospinal fluid (CSF) white blood cell count, CSF lactate concentration, and CSF glucose concentration were identified as independent diagnostic factors and incorporated into the nomogram. The diagnostic nomogram demonstrated excellent discrimination with an AUC of 0.933 in the development cohort and 0.908 in the validation cohort, outperforming individual CSF parameters (P < 0.001, DeLong's test). Calibration curves showed good agreement between predicted and observed probabilities. Decision curve analysis indicated favorable clinical utility.

conclusionsThis diagnostic nomogram provides an effective and convenient tool for early identification of post-neurosurgical bacterial meningitis.

Indexed as

Meningitis, BacterialNeurosurgical ProceduresNomogramsPostoperative ComplicationsAdultFemaleHumansMaleMiddle AgedRetrospective StudiesCerebrospinal fluidDiagnostic modelNomogramPost-neurosurgical bacterial meningitis

Identifiers

PMID42067788
PMCPMC13281600

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