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Table 3 Confounding variables controlled for in multivariate analysis in each study

From: The role of surgeon volume on patient outcome in total knee arthroplasty: a systematic review of the literature

Study

Covariates controlled

Kreder et al (2003)

age, comorbidity, gender, diagnosis, hospital procedure volume

Katz et al (2004)

age, gender, comorbidity, Medicaid eligibility, diagnosis, hospital procedure volume

Katz et al (2007)

age, gender, race, education, diagnosis, income, comorbidity, preoperative patient reported outcome (WOMAC)

Muilwijk et al (2007)

ASA class

Manley et al (2009)

age, gender, race, diagnosis, hospital procedure volume, hospital teaching status, hospital ownership, hospital region, income

Manley et al (2009)

age, gender, race, diagnosis, hospital procedure volume, hospital teaching status, hospital ownership, hospital region, income

Ong et al (2009)

age, gender, comorbidity, race, diagnosis, Medicare eligibility, hospital teaching status, hospital ownership, hospital location, hospital size, hospital procedure volume

Yasunaga et al (2009)

age, gender, BMI, diagnosis, comorbidity, hospital procedure volume

Paterson et al (2010)

age, gender, comorbidity, diagnosis, hospital teaching status, hospital procedure volume

Wei et al (2010)

age, gender, diagnosis, comorbidity, hospital ownership, hospital region

Styron et al (2011)

age, gender, race, comorbidity, income, insurance status, geographic region, hospital region, hospital teaching status, hospital ownership, hospital size, hospital procedure volume

Baker et al (2011)

age, surgeon volume, preoperative hemoglobin, gender, type of anaesthetic, ASA, surgeon experience, indication

  1. (ASA American Society of Anesthesiologists, BMI Body mass index, WOMAC Western Ontario and McMaster Universities Osteoarthritis Index).