ArticleHealthcare (Basel, Switzerland)2025
Implementation of +PERTO
Article in Healthcare (Basel, Switzerland), 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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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.
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Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesTotal knee Arthroplasty (TKA) is a prevalent treatment modality for degenerative knee diseases. Nevertheless, the success of the intervention is contingent on effective rehabilitation. The +PERTO
methodsIn 2024, a hospital in northern Portugal conducted a pilot trial with eleven patients undergoing elective total knee arthroplasty. Researchers collected data both before surgery and six weeks after discharge. To evaluate effectiveness, software satisfaction, and usability, they used several assessment tools, including the Oxford Knee Score (OKS), SF-36v2, Visual Analog Scale (VAS), Short Physical Performance Battery (SPPB), QSEnf-10, and System Usability Scale (SUS). Researchers analyzed the data using both descriptive and inferential statistics. The hospital's ethics committee and board of directors approved the study.
resultsThere was a significant reduction in pain (
conclusionsThe +PERTO
Indexed as
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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.