Risultati per: JAMA Psychiatry

This JAMA Insights introduces the new series on climate change intended to inform readers about the associations between climate change and health.

This issue includes a JAMA Insights article titled “Introduction to JAMA Climate Change and Health Series” that discusses how climate change has been linked to changes in the prevention, incidence, and treatment of human diseases. The article by Drs Ebi and Hess represents the first in a series of JAMA Insights articles intended to inform clinicians about how changes in climate can affect the practice of medicine. The effects of climate change on human health are increasingly evident. Extreme weather events such as ice storms and tornadoes have caused traumatic human injuries. Changes in climate have been associated with migration of animals and insects that carry disease, resulting in emergence of certain infections in geographic areas not previously known to be associated with these infectious diseases. Climate change can adversely affect mental health, such as when it forces human migration or threatens livelihood, such as for people working in agriculture whose employment is negatively affected by flooding or drought.

Mission Statement: To advance the equitable, person-centered, and evidence-based practice of internal medicine through publication of scientifically rigorous, innovative, and inclusive research, review, and commentary that informs dialogue and action with clinical, public health, and policy impact.

Mission Statement: JAMA Dermatology’s mission is to elevate the art and science of health and diseases of skin, hair, nails, and mucous membranes, and their treatment, to enable dermatologists to deliver evidence-based, high-value medical and surgical dermatologic care. The journal publishes a broad range of innovative studies and trials that shift research and clinical practice paradigms, expand the understanding of the burden of dermatologic diseases and key outcomes, improve the practice of dermatology, and ensure equitable care to all patients. The journal also features research and opinion examining ethical, moral, socioeconomic, educational, and political issues relevant to dermatologists to enable ongoing improvement to the workforce, scope of practice, and the training of future dermatologists. JAMA Dermatology aims to be a leader in developing initiatives to improve diversity, equity, and inclusion within the specialty and within dermatology medical publishing.

Mission Statement: JAMA Psychiatry strives to publish original, state-of-the-art studies and commentaries of general interest to clinicians and researchers in psychiatry, mental health, behavioral science, and allied fields. The journal seeks to inform its readers, to stimulate discussion into the nature, causes, treatment, and public health importance of mental illness, and to promote equity and justice for those affected by mental illness and for society.

JAMA Oncology is committed to publishing influential original research, opinions, and reviews that advance the science of oncology and improve the clinical care of patients with cancer.

This Viewpoint discusses the type and amount of data needed for machine learning models to accurately predict diagnoses and treatment outcomes at the individual patient level.

To the Editor In consulting with another group attempting to replicate our analyses, we have identified a coding error in the joint modeling analyses in our article, “Dynamic Prediction of Outcomes for Youth at Clinical High Risk for Psychosis: A Joint Modeling Approach,” published online on August 2, 2023, and in the October 2023 issue of JAMA Psychiatry. Specifically, the converter by time interaction term used in the feature selection phase of the longitudinal mixed-effects analyses was mistakenly retained in the longitudinal mixed-effects component of the joint models, but only the time effect should have been used in this phase. As a result of this error, the short-term longitudinal features used to boost performance of the baseline prediction models contained information on the outcomes to be predicted, making them not about prediction per se but about describing differential change as a function of outcome. The results for the base models and the feature selection stage are correct, but the results for the joint models that combine the base models and the selected longitudinal features are subject to this error. When the joint model analyses were rerun with the correct coding, they no longer showed improved prediction accuracy over and above the performance of the Cox regression models incorporating baseline-only predictors. Because the primary significance and novelty of the article were based on improved prediction in joint models incorporating information on short-term clinical change, we have requested that the article be retracted. Until studies of new samples are completed, short-term (baseline to 2-month) clinical change cannot be used to boost the performance of baseline-only prediction models of psychosis and remission of clinical high-risk status. We apologize for any confusion this error may have caused.

Mission Statement: To advance the equitable, person-centered, and evidence-based practice of internal medicine through publication of scientifically rigorous, innovative, and inclusive research, review, and commentary that informs dialogue and action with clinical, public health, and policy impact.