Factors associated with aseptic loosening after primary total hip arthroplasty: A systematic review and meta-analysis

Table 2 The statistics information of the included studies

Ref.	Statistics	Factors
Davis et al[61], 2020	KM survival analysis and Cox regression analyses	Age, sex, head composition, and stem fixation method
Amstutz et al[49], 2015	Multivariate analysis and Cox proportional hazard ratio	Age, gender, BMI, abduction arc, UCLA activity score, center-edge angle, cup abduction, component size, and diagnosis
Benson et al[35], 2022	KM survival analysis and Cox proportional hazards regression model	Age, sex, CCI, fixation type, duration and start of thromboprophylaxis, use of vitamin K antagonists, NOAC, aspirin, and platelet inhibitors
Bordini et al[15], 2007	Multivariate survival analysis and Cox proportional -hazards model	Age, gender, diagnosis, Charnley score, right or left side, surgeon’s skill, and type of components
Jud et al[42], 2024	Multivariate logistic regression analysis	Age, non-steroidal antirheumatics, and nicotine
Wagener et al[62], 2024	KM method and Cox proportional hazards model	Age, sex, BMI, ASA, diagnosis, comorbidities, surgerical approach, duration of surgery, hip type, Dorr type, revision time and type
Budin et al[34], 2024	Multivariable logistic regression	Age, sex, tobacco use, and LOS
Magruder et al[32], 2024	Logistical regression	Age, sex, and CCI
Aro et al[13], 2012	KM and logistic-regression model	Age, BMI, local BMD, T-score of the operated hip, and canal flare index
Electricwala et al[23], 2016	Bonferroni correction for multiple comparisons	BMI
Münger et al[14], 2006	Multivariate conditional logistic regressions	Age, sex, indication for surgery, height, weight, BMI, and mobility level
Layson et al[29], 2024	Multivariate logistic regressions	Age, sex, alcohol abuse, CCI, diabetes, obesity, CKD, history of cancer and tumors, CHF, CVD, RA, liver disease, and tobacco use
Clauss et al[58], 2013	Multivariable Cox regression analysis with stepwise variable selection	Age, sex, primary diagnosis, type of implant, implant material, stem offset, stem size, type of cup, and head diameter
Khatod et al[43], 2014	Multivariate Cox models	Age, gender, race, BMI, diabetes, ASA, implants, techniques, surgeons, and hospital factors
Stelmach et al[45], 2015	Cox regression models	Age, BMI, gender, BCL2-938 polymorphisms
Wedemeyer et al[44], 2009	Cox regression models	Age, gender, weight, height, BMI, BCL2-938C>A and CALCA-1786T>C polymorphisms, defects of acetabular and femoral
Lee et al[56], 2024	Multivariate logistic regression model	Age, stem type, sex, BMI, diagnosis, CCI, stem alignment, and canal fill ratio
Lunn et al[33], 2005	Logistic regression analysis	Age, HFE gene mutations C282Y and H63D genotype
Halawi et al[26], 2016	Multivariate logistic regression	Age, sex, BMI, CCI, diagnosis, approach, prior surgery, head size, articulation
Boyer et al[19], 2019	Cox multivariate regression model	BMI, gender, age, diabetes, weight, height

KM: Kaplan-Meier; BMI: Body mass index; CCI: Charlson Comorbidity Index; NOAC: Non-vitamin K oral anticoagulants; ASA: American Society of Anesthesiologists; LOS: Length of stay; BMD: Bone mineral density; CKD: Chronic kidney disease; CHF: Congestive heart failure; CVD: Cerebrovascular disease; RA: Rheumatoid arthritis.