External validation of deep learning algorithms for radiologic diagnosis: a systematic review

AC Yu, B Mohajer, J Eng - Radiology: Artificial Intelligence, 2022 - pubs.rsna.org
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …

[HTML][HTML] Evidence-based pharmacological treatment options for ADHD in children and adolescents

K Mechler, T Banaschewski, S Hohmann… - Pharmacology & …, 2022 - Elsevier
Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder
characterized by inattention, hyperactivity, and impulsivity, causing functional impairment. Its …

Digitizing clinical trials

OT Inan, P Tenaerts, SA Prindiville, HR Reynolds… - NPJ digital …, 2020 - nature.com
Clinical trials are a fundamental tool used to evaluate the efficacy and safety of new drugs
and medical devices and other health system interventions. The traditional clinical trials …

A review of generalizability and transportability

I Degtiar, S Rose - Annual Review of Statistics and Its …, 2023 - annualreviews.org
When assessing causal effects, determining the target population to which the results are
intended to generalize is a critical decision. Randomized and observational studies each …

Depressive symptoms and depression in individuals with internet gaming disorder: A systematic review and meta-analysis

EG Ostinelli, C Zangani, B Giordano, D Maestri… - Journal of affective …, 2021 - Elsevier
Background Although depression has frequently been associated with Internet Gaming
Disorder (IGD), its epidemiological impact on this emerging condition has not been …

Evaluating digital health interventions: key questions and approaches

E Murray, EB Hekler, G Andersson, LM Collins… - American journal of …, 2016 - Elsevier
Digital health interventions have enormous potential as scalable tools to improve health and
healthcare delivery by improving effectiveness, efficiency, accessibility, safety, and …

Dropout rates of in‐person psychosocial substance use disorder treatments: a systematic review and meta‐analysis

SN Lappan, AW Brown, PS Hendricks - Addiction, 2020 - Wiley Online Library
Abstract Background and Aims Relapse rates for psychosocial substance use disorder
(SUD) treatments are high, and dropout is a robust predictor of relapse. This study aimed to …

Low-density lipoprotein cholesterol reduction and statin intensity in myocardial infarction patients and major adverse outcomes: a Swedish nationwide cohort study

J Schubert, B Lindahl, H Melhus… - European heart …, 2021 - academic.oup.com
Aims Clinical trials have demonstrated that a reduction in low-density lipoprotein cholesterol
(LDL-C) reduces cardiovascular (CV) events. This has, however, not yet been shown in a …

Quality of life is substantially worse for community-dwelling older people living with frailty: systematic review and meta-analysis

TF Crocker, L Brown, A Clegg, K Farley… - Quality of Life …, 2019 - Springer
Purpose Frailty is an important predictor of adverse health events in older people, and
improving quality of life (QOL) is increasingly recognised as a focus for services in this …

Representation and outcomes of individuals with schizophrenia seen in everyday practice who are ineligible for randomized clinical trials

H Taipale, J Schneider-Thoma… - JAMA …, 2022 - jamanetwork.com
Importance Most evidence about efficacy and safety of antipsychotics in schizophrenia
spectrum disorders relies on randomized clinical trials (RCTs). However, owing to their strict …