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Longitudinal Changes in Depression Symptoms and Survival Among Patients With Lung Cancer: A National Cohort

Donald R Sullivan1, Christopher W Forsberg1, Linda Ganzini1

  • 1Donald R. Sullivan, Christopher G. Slatore, and Linda Ganzini, Oregon Health & Science University; Donald R. Sullivan, Christopher W. Forsberg, Linda Ganzini, and Christopher G. Slatore, Veterans Affairs Portland Health Care System, Portland, OR; David H. Au, Veterans Affairs Puget Sound Health Care System David H. Au, University of Washington, Seattle, WA; Michael K. Gould, Kaiser Permanente Southern California, Pasadena; Michael K. Gould, University of Southern California, Los Angeles, CA; Dawn Provenzale, Durham VA Medical Center; and Dawn Provenzale, Duke University, Durham, NC.

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Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal Studies01:26

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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COPD: Management Using Bronchodilators and Corticosteroids

Chronic obstructive pulmonary isease (COPD) involves a group of progressive lung disorders characterized by persistent airflow limitation and chronic respiratory symptoms. Asthma-COPD Overlap Syndrome (ACOS), encompassing features of both asthma and Chronic obstructive pulmonary disease (COPD), is a group of progressive lung disorders that includes chronic bronchitis, emphysema, and refractory (non-reversible) asthma. ACOS leads to complex clinical presentations that combine the inflammatory...
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Chronic Obstructive Pulmonary Disease-III: Symptoms and Complications.

Understanding the variety of primary symptoms and systemic complications that characterize chronic obstructive pulmonary disease (COPD) is crucial for healthcare professionals.
Symptoms of COPD can be classified as primary or systemic. Primary symptoms relate to reduced airflow, while systemic or extrapulmonary symptoms relate to COPD's broader impact on the body.
Primary Symptoms of COPD:
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Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
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