Evidence map›Paper›PMID 40893929›Full record

ArticleNeuropsychiatric disease and treatment2025

Association of Blood Cell-Derived Inflammatory Markers with Symptoms and Short-Term Treatment Response in Late-Life Depression.

Meixu Lu, Yan Zhang, Leiming Shi, Qianlong Wang, Xiaohua Yang, Haitao Ma, Mingzhen Wang, Yuping Zhao, Qi Miao

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2025. 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

9 authors.

Meixu LuSchool of Mental Health, Jining Medical University, Jining, People's Republic of China.
Yan ZhangShandong Mental Health Center (Affiliated Mental Health Center of Shandong University), Shandong Provincial Key Medical and Health Discipline of Gerontology (Shandong Mental Health Center), Jinan, Shandong, People's Republic of China.
Leiming ShiShandong Mental Health Center (Affiliated Mental Health Center of Shandong University), Shandong Provincial Key Medical and Health Discipline of Gerontology (Shandong Mental Health Center), Jinan, Shandong, People's Republic of China.
Qianlong WangSchool of Mental Health, Jining Medical University, Jining, People's Republic of China.
Xiaohua YangShandong Mental Health Center (Affiliated Mental Health Center of Shandong University), Shandong Provincial Key Medical and Health Discipline of Gerontology (Shandong Mental Health Center), Jinan, Shandong, People's Republic of China.
Haitao MaShandong Mental Health Center (Affiliated Mental Health Center of Shandong University), Shandong Provincial Key Medical and Health Discipline of Gerontology (Shandong Mental Health Center), Jinan, Shandong, People's Republic of China.
Mingzhen WangShandong Mental Health Center (Affiliated Mental Health Center of Shandong University), Shandong Provincial Key Medical and Health Discipline of Gerontology (Shandong Mental Health Center), Jinan, Shandong, People's Republic of China.
Yuping ZhaoShandong Mental Health Center (Affiliated Mental Health Center of Shandong University), Shandong Provincial Key Medical and Health Discipline of Gerontology (Shandong Mental Health Center), Jinan, Shandong, People's Republic of China.
Qi MiaoShandong Mental Health Center (Affiliated Mental Health Center of Shandong University), Shandong Provincial Key Medical and Health Discipline of Gerontology (Shandong Mental Health Center), Jinan, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to explore the relationship between whole blood cell-derived inflammatory markers and clinical symptoms in patients with late-life depression (LLD). It also aimed to explore the predictive value of whole blood cell-derived inflammatory markers on the efficacy of short-term medication. Methods: Eighty-three patients with LLD were included, and their baseline demographics, routine blood test results and clinical characteristics before and after 2 weeks of treatment were collected. Whole-blood cell-derived inflammatory markers at pre-treatment were calculated. Additionally, correlation analysis was used to explore the correlation between inflammatory makers and clinical characteristics. Multivariable logistic regression was used to analyze the factors influencing short-term outcomes in patients. The predictive value of whole blood cell-derived inflammatory markers for short-term outcomes was evaluated by plotting receiver operating characteristic (ROC) curve. Results: In this study, baseline PLR showed a positive correlation with the patients' HAMA scores at baseline. Furthermore, the levels of NLR, MLR, and NPR at baseline were negatively correlated with the patients' percentage reduction in HAMD score after 2 weeks of treatment. Regression analysis showed that baseline NPR was an independent risk factor affecting the efficacy of short-term pharmacological treatment. ROC curve analysis showed that the area under the curve of baseline NPR for predicting the outcome of short-term treatment was 0.713. Conclusion: There is a correlation between baseline whole blood cell-derived inflammatory markers and anxiety symptoms and short-term antidepressant efficacy in patients with LLD. Pre-treatment NPR levels may be an independent risk factor influencing the short-term treatment outcome in patients with LLD, and it may have a potential predictive value for short-term treatment efficacy.

Indexed as

inflammatory biomarkerlate-life depressionpredictive valueshort-term outcome prediction

Identifiers

PMID40893929
PMCPMC12396219

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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.