Evidence map›Paper›PMID 41963987›Full record

ArticleBMC research notes2026

Associations of inflammatory biomarkers with brain atrophy and clinical scores in schizophrenia patients with autistic features.

Jin Wang, Jie Shen, Yu Pang, Jihui Liu, Lili Zhao, Momo Sun, Yang Yang

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jin WangFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Jie ShenFirst Central Hospital of Tianjin Medical University, Tianjin, China. shenjie_vip@126.com.
Yu PangDepartment of General Psychiatry, Tianjin Anding Hospital, Tianjin, China.
Jihui LiuFirst Central Hospital of Tianjin Medical University, Tianjin, China.
Lili ZhaoDepartment of Ultrasound, Tianjin First Hospital, Tianjin, China.
Momo SunDepartment of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China.
Yang YangDepartment of Nuclear Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

PET/CT-based radiomics to predict the pathological characteristics and prognosis of primary liver cancer TJWJ2021MS013studies on nuclide nanoprobes with aggregation-induced luminescence properties in the integration of the diagnosis and treatment of atherosclerotic vulnerable plaques in rabbits 21JCYBJC01060
6 · The paper itself

Abstract

objectivesThis study explored the schizophrenia patients with autistic traits by analyzing clinical characteristics, inflammatory biomarkers and brain atrophy.

resultsMultiple regression analysis indicated significant associations. Positive symptom scores were linked to higher platelet count, elevated platelet-to-lymphocyte ratio, greater minimum width of the anterior horn of the lateral ventricle, higher Evans index, and male sex. Negative symptom scores correlated positively with older age, higher body mass index, wider third ventricle, higher neutrophil-to-lymphocyte ratio, and male sex. General psychopathology scores rose with older age and greater minimum ventricular width, as did total the Positive and Negative Syndrome Scale (PANSS) scores. The PANSS Autism Severity Score increased with higher neutrophil-to-lymphocyte ratio, greater ventricular widths (minimum anterior horn and third ventricle), older age, larger maximum external cranial diameter, and higher Evans index.

Indexed as

Autistic DisorderBrainInflammationSchizophreniaAdultAtrophyBiomarkersFemaleHumansMaleMiddle AgedYoung AdultBiomarkersAutismBrain atrophyPAUSSSchizophreniaVentricle enlargement

Identifiers

PMID41963987
PMCPMC13185261

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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.