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.0 (StataCorp LLC). First, to summarize participants’ baseline characteristics, we used descriptive statistics (eg, mean, standard deviation) for continuous variables, depending on the normality of the data, and proportions for categorical variables. A 2-sided

were retrieved from the same geographic district of Hong Kong. Statistical Analysis We describe statistics for demographics, follow-up duration, and prevalence of characteristics. Continuous variables are presented as medians with interquartile

observation in the database if this occurred >90 days before the end of the database. Statistical Analyses Baseline characteristics used descriptive statistics and were compared using Student t test or chi-square test as appropriate. Missing data

addressing depression in other cancer groups. 1 , 30 A national study found that multiple psychosocial characteristics were associated with worse depression but did not characterize an association between lung cancer biology and depression. 31 A better

subsequent multivariate analyses. A test result was considered as statistically significant for P <.05. Results Patient Characteristics From the 8 institutions, 292 patients were recruited for analysis between December 2017 and December 2019

professionals provided counseling and were supervised weekly by the first author (LRS). Counselors guided women through the Web site and discussed behavioral homework. Statistical Analyses Demographic and clinical characteristics were summarized with

. Characteristics of Patients Eligible for Screening In the OptumLabs 1% sample, we identified 93,334 prepolicy and 110,067 postpolicy patients. Patient counts for the control and exposure groups were equivalent for the OptumLabs analysis because patient records

Platinum Study ( P =.30), and other clinical and sociodemographic characteristics ( supplemental eTable 1 , available with this article at JNCCN.org ). Data on the prevalence of metabolic syndrome and its risk factors in this cohort have been previously

eAppendix 4 ). Data Collection Participants’ characteristics were assessed at baseline (before random assignment). Data on outcome measures (LST preferences, QoL, anxiety symptoms, and depressive symptoms) and time-varying covariates were collected at

Clinicopathologic characteristics were tabulated and evaluated with Fischer’s exact test and Student t testing, as appropriate. Odds of being offered electronic distress screening, which required an active Portal, were analyzed via univariable and multivariable