About: Preoperative Function and Gender Predict Pattern of Functional Recovery After Hip and Knee Arthroplasty

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Preoperative Function and Gender Predict Pattern of Functional Recovery After Hip and Knee Arthroplasty
Creator	Wessel, Jean Gollish, Jeffrey Hanna, Steven Kennedy, Deborah Stratford, Paul
Source	Elsevier; Medline; PMC
abstract	Abstract Gender, preoperative function, and other variables were explored as predictors of recovery after total hip and knee arthroplasty. One hundred fifty-two subjects (63.8 ± 10.2 years) were repeatedly assessed in the first 4 postoperative months. Average recovery curves for the Western Ontario and McMaster Universities Osteoarthritis Index, 6-minute walk test, and timed up and go test were characterized using hierarchical linear modeling. Recovery predictors were sequentially modeled after validation of the basic developmental models. Gender was a significant predictor (P ≤ .003) of physical performance measure scores 1 week after surgery. Thereafter, men and women had similar rates of improvement. Preoperative score was a significant predictor (P ≤ .001) in all models. Patients' and surgeons' expectations of outcome need to take preoperative function into account.
has issue date	2006-06-30(xsd:dateTime)
bibo:doi	10.1016/j.arth.2005.07.010
bibo:pmid	16781410
has license	els-covid
sha1sum (hex)	dc7761d89c06b4bca315f99f836eb7752f97a06f
schema:url	https://doi.org/10.1016/j.arth.2005.07.010
resource representing a document's title	Preoperative Function and Gender Predict Pattern of Functional Recovery After Hip and Knee Arthroplasty
has PubMed Central identifier	PMC7127039
has PubMed identifier	16781410
schema:publication	The Journal of Arthroplasty
resource representing a document's body	covid:dc7761d89c06b4bca315f99f836eb7752f97a06f#body_text
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