Evaluating the interaction between the therapy and the treatment in clinical trials by the propensity score weighting method

2012 ◽  
Vol 31 (3) ◽  
pp. 235-252 ◽  
Author(s):  
Yosuke Fujii ◽  
Masayuki Henmi ◽  
Toshiharu Fujita
2017 ◽  
Vol 29 (5) ◽  
pp. 703-706 ◽  
Author(s):  
Chung-Chou H. Chang

The propensity score (PS) weighting method is an analytic technique that has been applied in multiple fields for a number of purposes. Here, we discuss two common applications, which are (1) to correct for selection bias and (2) to adjust for confounding variables when estimating the effect of an exposure variable on the outcome of interest.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Ekamol Tantisattamo ◽  
Natnicha Leelaviwat ◽  
Chawit Lopimpisuth ◽  
Sakditad Saowapa ◽  
Natchaya Polpichai ◽  
...  

Introduction: Medial arterial calcification (MAC) detected in the breast by mammography (MG) is exclusively medial and associated with cardiovascular mortality in end-stage renal disease (ESRD). This association is unclear in renal transplant recipients (RTR). Hypothesis: By comparing groups of study population balanced by propensity score weighting method, MAC is associated with an increased risk of post-transplant mortality. Methods: Female RTR was divided into 2 groups per presence or absence of pre-transplant MAC examined from MG (MAC and non-MAC), and both groups was balanced with by PS weighting leading to a new study population. Association between MAC and post-transplant mortality of the new study population was examined by multi-variable logistic regression analysis. Results: Of 51 patients, mean age±SD was 57.08±10.47 years old. The majority were white (54.9%) followed by African American (35.3%) and others (9.8%). Incidence rate of mortality was 0.0307 person-years. Median time to follow-up was 3.95 years (range 0.22 to 6.37). Among 20 patients in MAC group, 5 patients died; whereas, only 1 out of 31 patients in non-MAC died (25% vs. 3.23%, p 0.029). Baseline characteristics of both groups were not equal. After using PS weights with generalized boosted modeling, new study population’s characteristics were balanced (Figure 1). MAC is associated with 5.97 times higer the odd of morality compared to non-MAC, but the association was not significant (OR 5.97; 95%CI 0.61, 58.77). After adjusted for age, race, causes of ESRD, dialysis modality, dialysis vintage, donor type, donor age, and type of immunosuppressive medications, the magnitude of the association was increased and becomes significant (OR 38.40; 95%CI 2.44, 604.54). Conclusions: Similar to ESRD, MAC remains associated with higher mortality in RTR and this association is confirmed by well-matched study population. Prevention of pre-transplant MAC should be pursued to mitigate poor post-transplant outcomes.


2021 ◽  
pp. 174077452110285
Author(s):  
Siyun Yang ◽  
Fan Li ◽  
Laine E Thomas ◽  
Fan Li

Background: Subgroup analyses are frequently conducted in randomized clinical trials to assess evidence of heterogeneous treatment effect across patient subpopulations. Although randomization balances covariates within subgroups in expectation, chance imbalance may be amplified in small subgroups and adversely impact the precision of subgroup analyses. Covariate adjustment in overall analysis of randomized clinical trial is often conducted, via either analysis of covariance or propensity score weighting, but covariate adjustment for subgroup analysis has been rarely discussed. In this article, we develop propensity score weighting methodology for covariate adjustment to improve the precision and power of subgroup analyses in randomized clinical trials. Methods: We extend the propensity score weighting methodology to subgroup analyses by fitting a logistic regression propensity model with pre-specified covariate–subgroup interactions. We show that, by construction, overlap weighting exactly balances the covariates with interaction terms in each subgroup. Extensive simulations were performed to compare the operating characteristics of unadjusted estimator, different propensity score weighting estimators and the analysis of covariance estimator. We apply these methods to the Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training trial to evaluate the effect of exercise training on 6-min walk test in several pre-specified subgroups. Results: Standard errors of the adjusted estimators are smaller than those of the unadjusted estimator. The propensity score weighting estimator is as efficient as analysis of covariance, and is often more efficient when subgroup sample size is small (e.g. <125), and/or when outcome model is misspecified. The weighting estimators with full-interaction propensity model consistently outperform the standard main-effect propensity model. Conclusion: Propensity score weighting is a transparent and objective method to adjust chance imbalance of important covariates in subgroup analyses of randomized clinical trials. It is crucial to include the full covariate–subgroup interactions in the propensity score model.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4445-4445
Author(s):  
Susan E Creary ◽  
Deena J Chisolm ◽  
Terah L Koch ◽  
Victoria A Zigmont ◽  
Bo Lu ◽  
...  

Abstract Background The2014 National Heart, Lung, and Blood Institute Expert Panel Report recommends that hydroxyurea (HU) be offered to all children with Hemoglobin SS and Sβ0 sickle cell disease (SCD) and that it be considered for children with Hemoglobin SC or Sβ+ who have clinically severe SCD. Describing current HU use among hospitalized children with SCD could identify whether HU is being prescribed to children who may benefit from it and whether HU improves hospitalization outcomes. Objectives The primary aims of this study were to determine the current rate of HU use in hospitalized children and to determine if HU was differentially used in children with clinically severe SCD. Additionally, we examined if hospitalized HU users had improved hospitalization outcomes as measured by fewer deaths, shorter lengths of stay (LOS), fewer intensive care unit (ICU) admissions, and fewer erythrocyte transfusions compared to HU non-users. Methods We performed a retrospective analysis of the Pediatric Health Information System (PHIS) inpatient data, a dataset developed by the Children's Hospital Association. PHIS participating hospitals supply International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes, de-identified demographic data, procedure codes, and charge codes for all of their hospitalization discharges. We included children ages 2-18 with SCD discharged between January 1, 2011-September 30, 2014 from the 42 hospitals that provided complete data to PHIS during the study period. Only patients' most recent hospitalization during the study period was analyzed to reflect the current rate of HU use. The following patient data within PHIS were obtained for all eligible discharges: age, gender, HU use, discharge status (dead, alive), ICU admission, asthma diagnosis, total number of ICD-9-CM diagnoses, LOS (days), erythrocyte transfusion, and insurance provider (private, public, unknown). Since the ICD-9-CM codes for patients' SCD genotype are not discreet, we did not use SCD genotype in our analyses. We defined patients as having clinically severe SCD if they had a history of a recent ICU admission (after 2009) or a history of ≥3 hospital admissions in the year preceding their most recent admission. This severity definition was selected because it is used in clinical practice or in clinical trials to identify children with severe SCD and because it could be captured within PHIS. Chi-squared and t-tests were used to compare the two groups, and since this was an observational study, propensity score weighting was used to balance differences in the baseline characteristics between HU users and non-users. Results We identified 2,665 unique children with SCD. Approximately 80% had an inpatient code indicating HU use. The mean age of HU users was 11.1 years (SD ± 4.8), which was younger (p=0.013) than non-users (11.7 years SD ± 4.8). Two HU users and four non-users died during their hospitalization. Significantly more (p<0.001) non-users (30.1%) had a prior ICU admission compared to HU users (18.7%). More non-users (33.9%) also had a history of three or more admissions compared to HU users (21.5%) (p<0.001). HU use did not significantly differ (p=0.08) by public (81.2%), private (83%), or unknown (70.2%) insurance provider. After applying propensity score weighting to balance these differences, HU users' and non-users' LOS, prevalence of ICU admissions, and prevalence of erythrocyte transfusions during their most recent hospitalizations did not significantly differ. Discussion Our study confirms that HU use is high among hospitalized children with SCD. However, we find that HU is not utilized by many children with clinically severe SCD, despite few other available therapies. Prior clinical trials show that HU use reduces hospitalizations, but our findings do not support that HU improves inpatient outcomes in those who are hospitalized. Our results support consideration of HU in children with SCD to prevent their hospitalization, rather than as a treatment to improve their hospitalization outcomes. Additional treatment options are needed for hospitalized children to reduce their LOS, ICU admissions, and erythrocyte transfusions. Disclosures Off Label Use: Hydroxyurea is a FDA approved medication for adults with sickle cell disease but it is not currently approved for children. Hydroxyurea induces fetal hemoglobin production and results in reduced complications in patients with sickle cell disease. There are multiple clinical trials showing that it is safe and effective for children with sickle cell disease..


2021 ◽  
Vol 14 ◽  
pp. 175628642097591
Author(s):  
Thomas F. Scott ◽  
Ray Su ◽  
Kuangnan Xiong ◽  
Arman Altincatal ◽  
Carmen Castrillo-Viguera ◽  
...  

Background: Peginterferon beta-1a and glatiramer acetate (GA) are approved first-line therapies for the treatment of relapsing forms of multiple sclerosis, but their therapeutic efficacy has not been compared directly. Methods: Clinical outcomes at 2 years, including no evidence of disease activity (NEDA), for patients receiving peginterferon beta-1a 125 mcg every 2 weeks (Q2W) or GA 20 mg/ml once daily (QD) were compared by propensity score matching analysis using individual patient data from ADVANCE and CONFIRM phase III clinical trials. In addition, clinical outcomes at 1–3 years for patients receiving peginterferon beta-1a Q2W or GA 40 mg/ml three times a week (TIW) were evaluated using a matching-adjusted comparison analysis of individual patient data from ADVANCE and the ADVANCE extension study, ATTAIN, and aggregate patient data from the phase III GALA and the GALA extension studies. Results: Propensity-score-matched peginterferon beta-1a patients ( n = 336) had a significantly lower annualized relapse rate [ARR (0.204 versus 0.282); rate ratio = 0.724; p = 0.045], a significantly lower probability of 12-week confirmed disability worsening (10.0% versus 14.6%; hazard ratio = 0.625; p = 0.048), and a significantly higher rate of NEDA (20.3% versus 11.5%; p = 0.047) compared with GA 20 mg/ml QD patients after 2 years of treatment. Matching-adjusted peginterferon beta-1a patients (effective n = 276) demonstrated a similar ARR at 1 year (0.278 versus 0.318; p = 0.375) and significantly lower ARR at 2 years (0.0901 versus 0.203; p = 0.032) and 3 years (0.109 versus 0.209; p = 0.047) compared with GA 40 mg/ml TIW patients ( n = 834). Conclusion: Results from separate matching comparisons of phase III clinical trials and extension studies suggest that peginterferon beta-1a 125 mcg Q2W may provide better clinical outcomes than GA (20 mg/ml QD or 40 mg/ml TIW).


2021 ◽  
Vol 83 ◽  
pp. 56-62
Author(s):  
Beth Ann Griffin ◽  
Marika Suttorp Booth ◽  
Monica Busse ◽  
Edward J. Wild ◽  
Claude Setodji ◽  
...  

Author(s):  
Kazuhiko Kido ◽  
Christopher Bianco ◽  
Marco Caccamo ◽  
Wei Fang ◽  
George Sokos

Background: Only limited data are available that address the association between body mass index (BMI) and clinical outcomes in patients with heart failure with reduced ejection fraction who are receiving sacubitril/valsartan. Methods: We performed a retrospective multi-center cohort study in which we compared 3 body mass index groups (normal, overweight and obese groups) in patients with heart failure with reduced ejection fraction receiving sacubitril/valsartan. The follow-up period was at least 1 year. Propensity score weighting was performed. The primary outcomes were hospitalization for heart failure and all-cause mortality. Results: Of the 721 patients in the original cohort, propensity score weighting generated a cohort of 540 patients in 3 groups: normal weight (n = 78), overweight (n = 181), and obese (n = 281). All baseline characteristics were well-balanced between 3 groups after propensity score weighting. Among our results, we found no significant differences in hospitalization for heart failure (normal weight versus overweight: average hazard ratio [AHR] 1.29, 95% confidence interval [CI] = 0.76-2.20, P = 0.35; normal weight versus obese: AHR 1.04, 95% CI = 0.63-1.70, P = 0.88; overweight versus obese groups: AHR 0.81, 95% CI = 0.54-1.20, P = 0.29) or all-cause mortality (normal weight versus overweight: AHR 0.99, 95% CI = 0.59-1.67, P = 0.97; normal weight versus obese: AHR 0.87, 95% CI = 0.53-1.42, P = 0.57; overweight versus obese: AHR 0.87, 95% CI = 0.58-1.32, P = 0.52). Conclusion: We identified no significant associations between BMI and clinical outcomes in patients diagnosed with heart failure with a reduced ejection fraction who were treated with sacubitril/valsartan. A large-scale study should be performed to verify these results.


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