POINT: Do Randomized Controlled Trials Ignore Needed Patient Populations? Yes

NICE shared decision making guidelines and mental health: challenges for research, practice and implementation

The National Institute for Health and Care Excellence (NICE) initiated an ambitious effort to develop the first shared decision making guidelines. The purpose of this commentary is to identify three main concerns pertaining to the new published guidelines for shared decision making research, practice, implementation and cultural differences in mental health.

Clinical Trials for Idiopathic Pulmonary Fibrosis and the Role of Health Systems

We are in the midst of transformative innovation in health care delivery and clinical trials in idiopathic pulmonary fibrosis (IPF). Health systems are uniquely positioned at the crossroad of these shifting paradigms, equipped with the resources to expand the research pipeline in IPF through visionary leadership and targeted investments. The authors hope that by prioritizing development of health information technology, supporting a broader range of clinical trial designs, and cultivating broad stakeholder engagement, health systems will generate data to address knowledge-evidence-practice gaps in IPF. This will continue to improve the ability to deliver high-quality, safe, and effective care.

Ethical Machine Learning in Healthcare

The use of machine learning (ML) in healthcare raises numerous ethical concerns, especially as models can amplify existing health inequities. Here, we outline ethical considerations for equitable ML in the advancement of healthcare. Specifically, we frame ethics of ML in healthcare through the lens of social justice. We describe ongoing efforts and outline challenges in a proposed pipeline of ethical ML in health, ranging from problem selection to postdeployment considerations. We close by summarizing recommendations to address these challenges.

Association between prior use of anti-diabetic medication and breast cancer stage at diagnosis

BACKGROUND

Knowledge regarding antidiabetic medication (ADM) use prior to breast cancer (BC) diagnosis remains limited. The objectives were to (1) evaluate if the prior use of ADM was associated with BC stage at diagnosis and (2) identify and compare patient characteristics among BC patients using different ADMs.

RESEARCH DESIGN AND METHODS

Newly diagnosed female BC patients exposed to any medication during one year prior to cancer diagnosis were identified in 2008-2013 Linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Stage at diagnosis, categorized as early and advanced, was the primary outcome. Chi-square tests were used to compare characteristics and logistic regression models were applied to examine the effect while controlling for patient's characteristics.

RESULTS

A total of 1,719 female BC patients used ADM while 6,084 patients were non-ADM users. Although a higher proportion of ADM users (20.36%) were diagnosed with advanced stage compared to the non-ADM users (14.46%), the difference was not statistically significant after adjusting for the patients' characteristics. Besides, insulin users were more likely to be diagnosed with advanced stage (adjusted odds ratio 1.69; 95% CI 1.15, 2.48) compared to metformin users.

CONCLUSIONS

The association between ADM use and BC diagnostic characteristics varied based on different treatments.

The quality of research with real-world evidence

Most of the medical practice has not been proven by controlled clinical trials, and there are no plans to conduct such trials in order to decrease clinician uncertainty. This happens partly due to the difficulty of making designs with scientific and ethical validity, the costs of this type of research and the time required to generate results, which can be several years. Clinical trials do not have the capability to generate information that allows to make decisions in some sectors of clinical care and public health, such as when an epidemic occurs. Therefore, medical science is based on observational studies, past practices and therapeutic tradition (1). Observation of clinical data that have defined a clinical behavior precedes the clinical trial. The knowledge about scurvy, the fact that this pathology is considered a nutritional deficiency and its treatment with citrus fruits, originated thanks to the collection of clinical data on sailors, soldiers and prisoners of the British Crown in the 18th and 19th centuries (2). This clinical information, which was collected uniformly and served to produce new knowledge, is what is now known as Real World Data (RWD). A modern definition of RWD would be one that talks about data obtained by any non-interventionist methodology that is collected prospectively and retrospectively from observations of routine clinical practice, and which comes from various sources including data from patients, doctors, hospitals, payers, social data, etc (3).