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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedKo H, Pelt CE, Martin BI
Patient-reported outcomes following cemented versus cementless primary total knee arthroplasty: a comparative analysis based on propensity score matching.
The purpose of this study was to compare baseline and early post-operative global and condition-specific patient reported outcomes (PROs) between patients undergoing cemented versus cementless total knee arthroplasty (TKA). The researchers prospectively collected PROs through the Comparative Effectiveness Pulmonary Embolism Prevention After Hip and Knee Replacement (PEPPER) trial using the short-form of the Knee Injury and Osteoarthritis Outcome Score (KOOS-Jr.), the Patient-Reported Outcomes Measurement Information System Physical Health (PROMIS-PH), and the Numeric Pain Rating Scale (NPRS). Pre- and post-operative outcomes in 5,961 patients undergoing primary TKA between December 2016 and August 2021 were examined. The study found that significant pre to- post-operative were observed in both groups. The researchers concluded that patients with cemented TKA reported early benefit in KOOS-Jr. over those with cementless TKA.
AHRQ-funded; HS024714.
Citation: Ko H, Pelt CE, Martin BI .
Patient-reported outcomes following cemented versus cementless primary total knee arthroplasty: a comparative analysis based on propensity score matching.
BMC Musculoskelet Disord 2022 Oct 27;23(1):934. doi: 10.1186/s12891-022-05899-1..
Keywords: Orthopedics, Surgery, Outcomes, Patient-Centered Outcomes Research, Evidence-Based Practice
Graber J, Kittelson A, Juarez-Colunga E
Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.
This study compared the relative strengths and weaknesses of 2 prediction model approaches for predicting functional recovery after knee arthroplasty: a neighbors-based "people-like-me" (PLM) approach and a linear mixed model (LMM) approach. The authors used 2 distinct datasets to train and then test PLM and LMM prediction approaches. They used the Timed Up and Go (TUG)-a common test of mobility-to operationalize physical function. Both approaches use patient characteristics and baseline postoperative TUG values to predict TUG recovery from days 1-425 following surgery. They then compared the accuracy and precision of the two approaches. A total of 317 patient records with 1379 TUG observations were used to train approaches, and 456 patient records with 1244 TUG observations were used to test the predictions. Both approaches performed similarly in terms of mean squared error and bias, but the PLM approach provided more accurate and precise estimates of prediction uncertainty.
AHRQ-funded; HS025692.
Citation: Graber J, Kittelson A, Juarez-Colunga E .
Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.
J Am Med Inform Assoc 2022 Oct 7;29(11):1899-907. doi: 10.1093/jamia/ocac123..
Keywords: Orthopedics, Surgery, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Outcomes