Evidence map›Paper›PMID 42898228›Full record

ArticleFrontiers in cellular and infection microbiology2026

Comparative histopathological and immunohistochemical features of central nervous system and pulmonary tuberculosis: an exploratory retrospective study.

Kaili Su, Junjun Liu, Runrui Wu, Wen Chen, Yuejiao Liu, Yadong Liu, Xu Zhang, Min Fan, Libao Feng, Shuangshuang Zhao

Abstract readComparative Study
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

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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kaili Su *Hohhot Hospital of Traditional Chinese Medicine and Mongolian Medicine, Hohhot, China.
Junjun Liu *Eighth Medical Center of the Chinese PLA General Hospital, Beijing, China.
Runrui Wu *Henan University of Chinese Medicine, Zhengzhou, China.
Wen ChenEighth Medical Center of the Chinese PLA General Hospital, Beijing, China.
Yuejiao LiuEighth Medical Center of the Chinese PLA General Hospital, Beijing, China.
Yadong LiuEighth Medical Center of the Chinese PLA General Hospital, Beijing, China.
Xu ZhangEighth Medical Center of the Chinese PLA General Hospital, Beijing, China.
Min FanEighth Medical Center of the Chinese PLA General Hospital, Beijing, China.
Libao FengEighth Medical Center of the Chinese PLA General Hospital, Beijing, China.
Shuangshuang ZhaoHohhot Hospital of Traditional Chinese Medicine and Mongolian Medicine, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central nervous system tuberculosis (CNS-TB) is a rare and particularly severe form of extrapulmonary tuberculosis (EPTB). Early diagnosis and precise treatment are crucial in managing this condition. Pathological and immunohistochemical features may differ between CNS-TB and pulmonary tuberculosis (PTB). This study included 9 patients of CNS-TB, and analyzed their clinical manifestations, pathological features, and the immunohistochemical(IHC) features. The findings were then compared with PTB to explore the similarities and differences in how tuberculosis manifests in the brain versus the lungs. However, CNS-TB tissue specimens are difficult to obtain, limiting our sample size. Additionally, several patients received preoperative anti-tuberculosis therapy and short-course corticosteroids before sampling. Given these baseline differences, intergroup comparisons should be interpreted cautiously. Unlike patients with isolated PTB, those with CNS-TB frequently present with multisystem tuberculosis involving the lungs. Typical tuberculosis manifestations including fever, anorexia, weight loss, dizziness and lymphadenopathy did not differ between groups. Likewise, CBC parameters (hemoglobin, total white blood cell count, absolute neutrophil count and lymphocyte count) were comparable between CNS-TB and PTB groups. In this small cohort, general pathological features such as granulomas and caseous necrosis were similar in CNS-TB and PTB lesions. We further compared their IHC profiles. This exploratory analysis revealed that CNS-TB lesions harbored significantly fewer CD34

Indexed as

Central Nervous SystemTuberculosis, Central Nervous SystemTuberculosis, PulmonaryAdultAgedAntitubercular AgentsBrainFemaleHumansImmunohistochemistryLungMaleMiddle AgedRetrospective StudiesAntitubercular Agentscentral nervous system tuberculosisdrug resistancegranulomatous inflammationimmune cellimmunohistochemical (IHC)

Identifiers

PMID42898228
PMCPMC13677463

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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.