Sentence examples for previous smoking status from inspiring English sources

In the sensitivity analysis (Table  2), we note that the current and previous smoking status are not significant in the missing models.

However, other known important and independent cardiovascular risk factors like previous smoking status, hypertension, obesity, hyperlipidemia, type 2 diabetes mellitus are available.

Transitions from being an ex- or current smoker to never having smoked are not possible hence current smoker was chosen as the reference category and predictor coefficients indicating previous smoking status of never smokers were constrained to be (structurally) zero.

The absolute number of studies supporting metastatic features, previous therapy, smoking status, and HRQoL as prognostic factors was limited.

The prognostic factors with the most consistently demonstrated associations with outcomes were PS, number or site of metastases, previous therapy, smoking status, and HRQoL.

The prognostic factors with the most consistently demonstrated associations with outcomes were performance status, number or site of metastases, previous therapy, smoking status, and health-related quality of life.

This literature review identified several factors, including PS, number or site of metastases, previous therapy, smoking status, and HRQoL, that may account for HTE and outcomes in advanced NSCLC.

Moderately researched prognostic factors were weight-related variables and number or site of metastases, and the least studied were comorbidities, previous therapy, smoking status, hemoglobin level, and health-related quality of life/symptom severity.

Moderately researched prognostic factors were weight-related variables and number or site of metastases, and the least studied nongenetic prognostic factors were comorbidities, previous therapy, smoking status, hemoglobin level, and HRQoL/symptom severity.

Women in the NOWAC study completed an extensive questionnaire, including questions on PA level, height and weight, exogenous hormone use, previous illnesses, smoking status and habits, alcohol consumption, education, reproductive history, and dietary habits at enrollment, and again at two separate follow-up periods.

In the multivariable model, we adjusted for the following potential confounders: age, gender, diabetes, hypertension, renal failure, chronic obstructive pulmonary disease, previous myocardial infarction, previous stroke, current smoking status and left ventricular systolic dysfunction defined as left-ventricular ejection fraction <50%.