Evidence map›Paper›PMID 37465565›Full record

ArticleNeuropsychiatric disease and treatment2023

Changes in Inflammatory Biomarkers in Patients with Schizophrenia: A 3-Year Retrospective Study.

Xiaoyu Zhu, Ran Li, Yu Zhu, Jia Zhou, Junchao Huang, Yanfang Zhou, Jinghui Tong, Ping Zhang, Xingguang Luo, Song Chen and 8 more

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. [Risk Prediction Performance of Blood Biomarkers for Bipolar Disorder With Psychotic Symptoms].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

18 authors.

Xiaoyu ZhuPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Ran LiPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Yu ZhuPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Jia ZhouPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Junchao HuangPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Yanfang ZhouPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Jinghui TongPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Ping ZhangPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Xingguang LuoDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-3585-042X
Song ChenPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Yanli LiPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.ORCID 0000-0002-6837-7934
Baopeng TianPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Shu-Ping TanPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Zhiren WangPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Xiaole HanPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
Li TianInstitute of Biomedicine and Translational Medicine, Department of Physiology, Faculty of Medicine, University of Tartu, Tartu, Estonia.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Yun-Long TanPsychosomatic Department, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Accumulating evidence suggested that immune system activation might be involved in the pathophysiology of schizophrenia. The neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) can measure inflammation. This study aimed to investigate the inflammatory state in patients with schizophrenia by using these indicators. Methods: In this study, the complete blood count data for 187 continuing hospitalized patients with schizophrenia and 187 age- and sex-matched healthy participants was collected annually from 2017 to 2019. Platelet (PLT), lymphocyte (LYM), monocyte (MON) and neutrophil (NEU) counts were aggregated and NLR, MLR, PLR, and SII were calculated. Using a generalized linear mixed model, we assessed the impact of age, sex, diagnosis, and sampling year on the above indicators and evaluated the interaction between the factors. Results: According to the estimation results of the generalized linear mixed model, the NLR increased by 0.319 (p = 0.004), the MLR increased by 0.037 (p < 0.001), and the SII increased by 57.858 (p = 0.018) in patients with schizophrenia. Data after two years of continuous antipsychotic treatment showed that the NLR and MLR were higher in patients with schizophrenia than those in healthy controls, while the PLT and LYM counts were decreased in patients with schizophrenia. The schizophrenia diagnosis was correlated to the MON and LYM count, NLR, MLR, and SII ( Conclusion: The differences in these markers were stable and cannot be eliminated by a full course of treatment. This study provides impetus for the inflammatory hypothesis of schizophrenia.

Indexed as

monocyte/lymphocyte rationeutrophil/lymphocyte ratioplatelet/lymphocyte ratioschizophreniasystemic immune-inflammation index

Identifiers

PMID37465565
PMCPMC10350427

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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.