Evidence map›Paper›PMID 39257333›Full record

Observational studyEuropean journal of physical and rehabilitation medicine2024

The Minimal assessment Protocol for Cerebral Stroke 2020 (PMIC2020): a multicenter feasibility study in post-stroke inpatient rehabilitation.

Francesca Cecchi, Marco Baccini, Alessandro Sodero, Leonardo Pellicciari, Matteo Cioeta, Sanaz Pournajaf, Silvano Baratta, Susanna Lavezzi, Anna Cassio, Maurizio Massucci and 5 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in European journal of physical and rehabilitation medicine, 2024. 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

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5 · Who and what money

Authors and funding

15 authors.

Francesca CecchiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Marco BacciniIRCCS Fondazione Don Carlo Gnocchi, Florence, Italy - marco.baccini@unifi.it.
Alessandro SoderoIRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.
Leonardo PellicciariIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Matteo CioetaDepartment of Neurological and Rehabilitation Sciences, IRCCS San Raffaele, Rome, Italy.
Sanaz PournajafDepartment of Neurological and Rehabilitation Sciences, IRCCS San Raffaele, Rome, Italy.
Silvano BarattaUSL Umbria2, Trevi, Perugia, Italy.
Susanna LavezziDipartimento di Neuroscienze Azienda Ospedaliero-Universitaria, Ferrara, Italy.
Anna CassioDipartimento di Riabilitazione AUSL Piacenza, Piacenza, Italy.
Maurizio MassucciUSL Umbria1, Ospedali di Passignano sul Trasimeno e Pantalla, Perugia, Italy.
Andrea MontisAzienda Ospedaliero Universitaria, Baggiovara, Modena, Italy.
Giovanni MoroneIRCCS Fondazione S. Lucia, Rome, Italy.
Mariangela TariccoSezione Stroke, Società Italiana di Medicina Fisica e Riabilitazione, Rome, Italy.
Marco FranceschiniDepartment of Neurological and Rehabilitation Sciences, IRCCS San Raffaele, Rome, Italy.
PMIC2020 Group Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2008, a Working Group of the Italian Society of Physical and Rehabilitation Medicine (SIMFER) published the first minimum protocol for assessing stroke patients (PMIC) to define functional needs and outcomes. The recent PMIC revision (PMIC2020) introduces a document for all rehabilitation settings, incorporating updated measurement tools.

aimThe aim of this study was to investigate the PMIC2020 feasibility and administration time (AT) in post-stroke inpatients and to examine the influence of demographic and clinical variables on AT.

designMulticenter prospective observational study.

settingEight Italian rehabilitation centers for post-acute inpatients. POPULATION: Adult patients consecutively admitted to rehabilitation after ischemic/hemorrhagic stroke, reporting the first event or recurrence, with a modified Barthel Index (mBI)<75 points, without cognitive impairment and clinical instability.

methodsPMIC2020 was administered at admission (T0) and discharge (T1), recording AT of each section/ tool. A feasibility questionnaire was administered to assessors. Univariate and multivariate analyses were conducted to investigate the effect of demographics and clinical variables on AT.

resultsOne hundred fifty-one subjects were enrolled at T0 and 139 at T1; the mean±SD AT (seconds) was 1634±401 at T0 and 1087±360 at T1 (P<0.001). National Institute of Health-Stroke Scale and Mini-Mental State Examination required the highest AT. All but two scales had significantly lower AT at T1 (P<0.05). Severe disability (as measured by mBI) was associated with higher AT than either complete or minimal/absent disability. The feasibility questionnaire showed good PMIC2020 appraisal by assessors without relevant critical issues.

conclusionsPMIC2020 was feasible in post-acute inpatient rehabilitation settings. No relevant critical issue was raised by users. Even though more comprehensive than PMIC, PMIC2020 required only slightly more AT (27 minutes at T0 and 18 minutes at T1, on average); more AT was needed to assess patients with severe disability. CLINICAL REHABILITATION IMPACT: The study has immediate transferability for the National Health Service, as PMIC2020 can be routinely implemented in clinical practice and research to assess stroke patients' needs and outcomes. The updated measures allow more immediate comparisons with international data on stroke rehabilitation. Future research should investigate the PMIC2020 feasibility in other rehabilitation settings and its relevance in predicting stroke rehabilitation needs and outcomes.

Indexed as

Disability EvaluationFeasibility StudiesStroke RehabilitationAgedAged, 80 and overFemaleHumansInpatientsItalyMaleMiddle AgedProspective StudiesRehabilitation CentersStroke

Identifiers

PMID39257333
PMCPMC11558459

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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.