Evidence map›Paper›PMID 40643269›Full record

Observational studyEuropean journal of physical and rehabilitation medicine2025

Multicenter study on predictors of rehabilitation outcome and home discharge in people with non-traumatic spinal cord injuries.

Marco Franceschini, Carrie-Louise Thouant, Maurizio Agosti, Francesca Gimigliano, Salvatore Ferro, Jacopo Bonavita, Maria C Pagliacci, Giorgio Felzani, Sanaz Pournajaf, Italian SCI Study Group

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in European journal of physical and rehabilitation medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Marco FranceschiniResearch Area in Neuromotor Rehabilitation and Rehabilitation Robotics, Department of Neuroscience, IRCCS San Raffaele Roma, Rome, Italy.
Carrie-Louise ThouantResearch Area in Neuromotor Rehabilitation and Rehabilitation Robotics, Department of Neuroscience, IRCCS San Raffaele Roma, Rome, Italy - carrielouise.thouant@sanraffaele.it.
Maurizio AgostiGeriatrics and Rehabilitation Department, Parma University Hospital, Parma, Italy.
Francesca GimiglianoDepartment of Mental and Physical Health and Preventive Medicine, Luigi Vanvitelli University of Campania, Naples, Italy.
Salvatore FerroDepartment of Hospital Services, Emilia-Romagna Regional Health Authority, Bologna, Italy.
Jacopo BonavitaAzienda Provinciale Servizi Sanitari (APSS), Trento, Italy.
Maria C PagliacciFondazione Serena Olivi ETS, Perugia, Italy.
Giorgio FelzaniSan Raffaele Institute of Sulmona, Sulmona, L'Aquila, Italy.
Sanaz PournajafResearch Area in Neuromotor Rehabilitation and Rehabilitation Robotics, Department of Neuroscience, IRCCS San Raffaele Roma, Rome, Italy.
Italian SCI Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-traumatic spinal cord injuries (NTSCI) represent an increasing public health concern, particularly in aging populations, yet there is limited literature on rehabilitation outcomes and key predictors of home discharge in this population.

aimThis study evaluates the impact of demographic and clinical characteristics on rehabilitation outcomes and home discharge rates in individuals with NTSCI.

designProspective observational cohort study.

settingThirty-one specialized SCI centers in 13 Italian regions. POPULATION: Individuals with NTSCI.

methodsDemographic and clinical characteristics of 394 rehabilitation were recorded at admission (T1) and discharge (T2). The American Spinal Injury Association (ASIA) Scale and Spinal Cord Independence Measure (SCIM) were used to assess motor function and functional independence. Binary logistic regression was employed to develop a predictive model for home discharge, incorporating categorical and continuous variables. Two common metrics for this purpose are the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). Predictive factors for home discharge were analyzed using logistic regression and ROC curves.

results80% of participants were discharged home. Key predictors of home discharge included higher SCIM scores, younger age, and being married. The SCIM score at discharge was a stronger predictor of home discharge than at admission. Length of stay (LOS) was also a significant factor, with longer stays associated with better functional outcomes, particularly in individuals with severe impairments.

conclusionsSCIM scores at discharge, age, and marital status emerged as key predictors of home discharge, highlighting the importance of personalized rehabilitation strategies and structured discharge planning. Tailoring rehabilitation programs to maximize SCIM score improvements may enhance home discharge rates and long-term patient outcomes. CLINICAL REHABILITATION IMPACT: This study emphasizes the importance of continuous functional assessment using SCIM during rehabilitation, allowing clinicians to optimize treatment plans and improve home discharge likelihood. Additionally, considering demographic factors such as age and marital status in discharge planning may facilitate better reintegration into home environments. Longer rehabilitation stays for individuals with more severe injuries (ASIA A/B) can significantly enhance outcomes. By incorporating these predictors into everyday practice, rehabilitation clinics can better optimize patient care, increase home discharge rates, and improve overall quality of life post-rehabilitation.

Indexed as

Patient DischargeSpinal Cord InjuriesAdultAgedDisability EvaluationFemaleHumansItalyLength of StayMaleMiddle AgedProspective StudiesRecovery of FunctionTreatment Outcome

Identifiers

PMID40643269
PMCPMC12406163

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.