ArticleBJPsych open2026
Determinants of hospital length of stay for schizophrenia: retrospective negative binomial analysis in a university hospital.
Article in BJPsych open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLimited data exist on factors influencing the length of hospital stay (HLoS) in patients with schizophrenia.
aimsThis study aimed to identify and quantify patient characteristics associated with HLoS.
methodA retrospective study was conducted on patients diagnosed with schizophrenia (F20, ICD-10) admitted to the County Emergency Hospital of Cluj-Napoca, Romania, from 2018 to 2022. Demographics, comorbidities, symptom severity (Positive and Negative Syndrome Scale/Brief Psychiatric Rating Scale), antipsychotic treatment and adverse effects data were collected from medical charts. Predictors of HLoS for patients with one hospitalisation were assessed using negative binomial regression.
resultsThe sample comprised 288 patients aged 18-65 years, with 75% over 30 years and a balanced gender distribution. Most patients had no comorbidities (64.24%) whereas 49.46% reported addictions. Men had higher rates of tobacco use (62.00
conclusionsThe length of hospital stay in patients with schizophrenia is influenced by demographic, clinical and treatment factors. Targeted interventions addressing these predictors may optimise the duration of hospitalisation.
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.