Statistics in Brief: An Introduction to the Use of Propensity Scores

Inacio, Maria C.S.; Chen, Yuexin; Paxton, Elizabeth W.; Namba, Robert S.; Kurtz, Steven M.; Cafri, Guy

doi:10.1007/s11999-015-4239-4

Cited by 76 publications

(62 citation statements)

References 29 publications

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“…Propensity score matching was used to minimize the effects of confounding related to differences in patient demographics as a result of the nonrandom assignment of patients to outpatient or inpatient surgery. This type of matching uses a propensity score, which is a single score that is calculated based on covariate data, to match patients from different treatment groups [18]. In the current study, each ''outpatient'' and ''LOS = 0'' case was matched with one ''inpatient'' and ''LOS [ 0'' case, respectively, without replacement with regard to gender, body mass index, modified CCI, functional status before surgery, and smoking status.…”

Section: Statistical Analysesmentioning

confidence: 99%

Definitional Differences of ‘Outpatient’ Versus ‘Inpatient’ THA and TKA Can Affect Study Outcomes

Bovonratwet

Webb

Ondeck

et al. 2017

Clinical Orthopaedics &Amp; Related Research

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Section: Statistical Analysesmentioning

confidence: 99%

Definitional Differences of ‘Outpatient’ Versus ‘Inpatient’ THA and TKA Can Affect Study Outcomes

Bovonratwet

Webb

Ondeck

et al. 2017

Clinical Orthopaedics &Amp; Related Research

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show abstract

“…URL https://www.r-project.org/). For the propensity score matching analysis, a 1:1 match was performed (control group) [14], using the administration of the DAC as the dependent variable and the age, gender, body mass index (BMI), PJI risk score, CCI, length of stay, and operative time as response variables. The match was performed by using the optimal matching method, where the absolute average distance between all matched pairs is minimized.…”

Section: Discussionmentioning

confidence: 99%

“…The sample consisted of a total of 177 subjects. All the patients who underwent local antibioticprophylaxis treatment with the antibiotic hydrogel (antibiotic loaded hydrogel group, ALH) (N = 17) were compared with a 1:1 ratio to the patients selected through the propensity score matching [14] (control group).…”

Section: Study Design and Populationmentioning

confidence: 99%

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Antibiotic-Loaded Hydrogel Coating to Reduce Early Postsurgical Infections in Aseptic Hip Revision Surgery: A Retrospective, Matched Case-Control Study

et al. 2020

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Periprosthetic joint infections (PJIs) are a cause of frequent implant failure in revision hip replacement surgery. The purpose of this study is to evaluate the onset of early postoperative infections in patients who underwent hip surgery with cementless prostheses treated with an antibiotic loaded hydrogel on their surface, in addition to systemic prophylaxis, and compare them to a control group. The secondary objective was to evaluate the onset of any local and systemic adverse effects and interference with bone ingrowth processes and functional recovery. A retrospective observational study was conducted on patients who underwent revision hip surgery by performing a 1:1 match between patients treated with an antibiotic hydrogel (ALH) and the control patients. The incidence of PJIs was assessed with a minimum of six months follow-up. Seventeen patients treated with the ALH were compared with 17 patients from the control group. No PJIs were reported in the ALH group versus the six cases encountered in the control group (p < 0.0001). No significant differences were reported with regard to prosthetic osseointegration and functional results, nor were there side effects in the ALH group. Despite the low sample size, the use of on-site prophylaxis with ALH has proven effective and safe in reducing the risk of PJIs in patients with a high risk for infections. Further studies are needed to validate these results in other implant-related surgeries.

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“…This method made similar baseline characteristics between two groups in order to create "quasi-random experiment" from retrospective data (9,10). Using a multivariable logistic regression model, we calculated the propensity scores in terms of clinicopathological characteristics (covariates: age, gender, tumor location, tumor grade, T stage, N stage and pathological stage).…”

Section: Propensity Score Matching (Psm)mentioning

confidence: 99%

Prognostic value of right upper mediastinal lymphadenectomy in Sweet procedure for esophageal cancer

Wang

Deng

et al. 2016

J. Thorac. Dis.

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Results: As for the prognostic role of RUMLND, patients treated with MS tended to obtain higher 5-year survival rate than patients treated with SS in univariate analysis (48.1% vs. 37.4%). Moreover, in multivariate analysis, MS yielded significant higher 5-year survival rate compared with SS (P=0.041). In addition, subgroup analyses of the survival between the MS and SS patients by detailed stratifications demonstrated the survival superiority in the MS group with age <60 years old, TNM stage III, number of lymph node dissection (LND) ≥15, as well as no using of postoperative adjuvant treatment. Conclusions:The RUMLND in Sweet procedure is an independent prognostic factor for ESCC-MLT patients, especially for those with thoracic middle segment-located tumor, stage III or younger.

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Statistics in Brief: An Introduction to the Use of Propensity Scores

Cited by 76 publications

References 29 publications

Definitional Differences of ‘Outpatient’ Versus ‘Inpatient’ THA and TKA Can Affect Study Outcomes

Definitional Differences of ‘Outpatient’ Versus ‘Inpatient’ THA and TKA Can Affect Study Outcomes

Antibiotic-Loaded Hydrogel Coating to Reduce Early Postsurgical Infections in Aseptic Hip Revision Surgery: A Retrospective, Matched Case-Control Study

Prognostic value of right upper mediastinal lymphadenectomy in Sweet procedure for esophageal cancer

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