ArticleWorld journal of psychiatry2025
Based on real-world data: Risk factors and prediction model for mental disorders induced by rabies vaccination.
Article in World journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Analysis of health anxiety trajectories in rabies exposure patients based on machine learning.BMC public health · 2026Article
- Heterogeneity of health anxiety in patients following rabies exposure: a latent profile analysis.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRabies is a zoonotic viral disease affecting the central nervous system, caused by the rabies virus, with a case-fatality rate of 100% once symptoms appear.
aimTo analyze high-risk factors associated with mental disorders induced by rabies vaccination and to construct a risk prediction model to inform strategies for improving patients' mental health.
methodsPatients who received rabies vaccinations at the Department of Infusion Yiwu Central Hospital between August 2024 and July 2025 were included, totaling 384 cases. Data were collected from medical records and included demographic characteristics (age, gender, occupation), lifestyle habits, and details regarding vaccine type, dosage, and injection site. The incidence of psychiatric disorders following vaccination was assessed using standardized anxiety and depression rating scales. Patients were categorized into two groups based on the presence or absence of anxiety and depression symptoms: The psychiatric disorder group and the non-psychiatric disorder group. Differences between the two groups were compared, and high-risk factors were identified using multivariate logistic regression analysis. A predictive model was then developed based on these factors to evaluate its predictive performance.
resultsAmong the 384 patients who received rabies vaccinations, 36 cases (9.38%) were diagnosed with anxiety, 52 cases (13.54%) with depression, and 88 cases (22.92%) with either condition. Logistic regression analysis identified the following significant risk factors for psychiatric disorders: Education level of primary school or below, exposure site at the head and neck, exposure classified as grade III, family status of divorced/widowed/unmarried/living alone, number of wounds greater than one, and low awareness of rabies prevention and control (
conclusionIn real-world settings, psychiatric disorders following rabies vaccination are relatively common and are associated with factors such as lower education level, higher exposure severity, vulnerable family status, and limited awareness of rabies prevention and control. The developed risk prediction model may aid in early identification of high-risk individuals and support timely clinical intervention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.