In-person and telehealth ambulatory contacts and costs in a large US insured cohort before and during the COVID-19 pandemic
Importance This study assesses the role of telehealth in the delivery of care at the start of the
COVID-19 pandemic. Objectives To document patterns and costs of ambulatory care in the …
COVID-19 pandemic. Objectives To document patterns and costs of ambulatory care in the …
[HTML][HTML] Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review
SWJ Nijman, AM Leeuwenberg, I Beekers… - Journal of clinical …, 2022 - Elsevier
Objectives Missing data is a common problem during the development, evaluation, and
implementation of prediction models. Although machine learning (ML) methods are often …
implementation of prediction models. Although machine learning (ML) methods are often …
The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies.
Confirmatory factor analysis (CFA) has been frequently applied to executive function
measurement since first used to identify a three-factor model of inhibition, updating, and …
measurement since first used to identify a three-factor model of inhibition, updating, and …
Prevalence, underlying causes, and preventability of sepsis-associated mortality in US acute care hospitals
Importance Sepsis is present in many hospitalizations that culminate in death. The
contribution of sepsis to these deaths, and the extent to which they are preventable, is …
contribution of sepsis to these deaths, and the extent to which they are preventable, is …
Post–COVID-19 conditions among children 90 days after SARS-CoV-2 infection
AL Funk, N Kuppermann, TA Florin… - JAMA Network …, 2022 - jamanetwork.com
Importance Little is known about the risk factors for, and the risk of, developing post–COVID-
19 conditions (PCCs) among children. Objectives To estimate the proportion of SARS-CoV-2 …
19 conditions (PCCs) among children. Objectives To estimate the proportion of SARS-CoV-2 …
Human and economic impacts of natural disasters: can we trust the global data?
RL Jones, D Guha-Sapir, S Tubeuf - Scientific data, 2022 - nature.com
Reliable and complete data held in disaster databases are imperative to inform effective
disaster preparedness and mitigation policies. Nonetheless, disaster databases are highly …
disaster preparedness and mitigation policies. Nonetheless, disaster databases are highly …
The prevalence of post-traumatic stress disorder related symptoms in Coronavirus outbreaks: A systematic-review and meta-analysis
Background: Infectious disease outbreaks affect physical and mental health of humans
worldwide. Studies showed that the prevalence of post-traumatic stress disorder (PTSD) …
worldwide. Studies showed that the prevalence of post-traumatic stress disorder (PTSD) …
Conventional and modern markers of endometrial receptivity: a systematic review and meta-analysis
BACKGROUND Early reproductive failure is the most common complication of pregnancy
with only 30% of conceptions reaching live birth. Establishing a successful pregnancy …
with only 30% of conceptions reaching live birth. Establishing a successful pregnancy …
Global, regional, and national prevalence, incidence, and disability-adjusted life years for oral conditions for 195 countries, 1990–2015: a systematic analysis for the …
The Global Burden of Disease 2015 study aims to use all available data of sufficient quality
to generate reliable and valid prevalence, incidence, and disability-adjusted life year (DALY) …
to generate reliable and valid prevalence, incidence, and disability-adjusted life year (DALY) …
A checklist for statistical assessment of medical papers (the CHAMP statement): explanation and elaboration
Misuse of statistics in medical and sports science research is common and may lead to
detrimental consequences to healthcare. Many authors, editors and peer reviewers of …
detrimental consequences to healthcare. Many authors, editors and peer reviewers of …