Evidence map›Paper›PMID 42445849›Full record

ArticleFrontiers in cellular and infection microbiology2026

Development and internal validation of a nomogram for predicting neurobrucellosis in hospitalized patients with brucellosis: a single-center retrospective study.

Qiuyan Chen, Zheng Yin, Yanzi Jin, Fangfang Sun, Yan Wang, Jiaxuan Duan, Xu Wang, Xianrui Xu, Qiang Liu, Ping Yang and 3 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Qiuyan Chen *Clinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Zheng YinClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Yanzi JinClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Fangfang SunClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Yan WangClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Jiaxuan DuanClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Xu WangClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Xianrui XuDepartment of Neurology, General Hospital of Ningxia Medical University, Ningxia, Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Yinchuan, Ningxia, China.
Qiang LiuDepartment of Neurology, General Hospital of Ningxia Medical University, Ningxia, Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Yinchuan, Ningxia, China.
Ping YangClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Feng RaoClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Longnan WangClinical Medical College, Ningxia Medical University, Yinchuan, Ningxia, China.
Qing ZhangDepartment of Neurology, General Hospital of Ningxia Medical University, Ningxia, Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To develop and validate a nomogram based on routinely available clinical indicators for individualized prediction of the risk of neurobrucellosis (NB), thereby providing decision support for early clinical diagnosis and timely treatment while avoiding overtreatment. Methods: A single-center retrospective study was conducted including 407 patients diagnosed with brucellosis and hospitalized at the General Hospital of Ningxia Medical University between January 1, 2020 and September 1, 2025. Demographic characteristics, comorbidities, clinical symptoms, physical signs, and laboratory findings at the time of first hospitalization were collected. The occurrence of NB served as the outcome variable. Univariate logistic regression analysis was first performed to screen potential predictors, and variables with Results: A total of 407 patients with brucellosis were included, comprising 275 males (67.6%) and 132 females (32.4%). The incidence of NB was 10.6% (43/407). Compared with non-neurobrucellosis (non-NB) patients, those with NB were younger and had a lower incidence of bone and joint pain. Additionally, NB patients exhibited higher levels of hemoglobin and albumin, but lower levels of fibrinogen, high-sensitivity C-reactive protein, and erythrocyte sedimentation rate (all Conclusion: The nomogram model developed in this study demonstrated good predictive performance and potential clinical applicability. It may serve as a useful tool for early identification of high-risk patients with neurobrucellosis among individuals with brucellosis, thereby facilitating timely and individualized clinical management.

Indexed as

BrucellosisNomogramsAdultAgedFemaleHospitalizationHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsROC Curvebrucellosislogistic regressionneurobrucellosisnomogramrisk prediction model

Identifiers

PMID42445849
PMCPMC13357403

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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.