ArticleSurgical neurology international2017
Predictive model of length of stay and discharge destination in neuroscience admissions.
Article in Surgical neurology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Predicting inpatient rehabilitation length of stay for adults with traumatic spinal cord injury.The journal of spinal cord medicine · 2025Article
- Predictors of length of hospital stay after pediatric Ebstein anomaly corrective surgery: a retrospective cohort study.BMC pediatrics · 2024Article
- Predictors of prolonged hospital stay in a Comprehensive Stroke Unit.Revista latino-americana de enfermagem · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study was to try and determine the best predictors of hospital length of stay and discharge destination in patients admitted to a neuroscience service.
methodsValid data was collected for 170 patients. Variables included age, gender, location prior to admission, principle diagnosis, various physiological measurements upon admission, comorbidity, independence in various activities of daily living prior to admission, length of stay, and disposition upon discharge. Study design was a correlational descriptive study performed through the analysis of data and the development and validation of statistically significant factors in determining the length of stay.
resultsAll factors with a strong (
conclusionsFunctional status at admission, specifically, a higher modified Rankin score and a lower systolic blood pressure along with the acquisition of deep vein thrombosis, catheter associated urinary tract infections, intubation, and admission to an intensive care unit all have a statistically significant effect on the hospital length of stay.
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