Association of cardiovascular disease and 10 other pre-existing comorbidities with COVID-19 mortality: A systematic review and meta-analysis

P Ssentongo, AE Ssentongo, ES Heilbrunn, DM Ba… - PloS one, 2020 - journals.plos.org
Background Estimating the risk of pre-existing comorbidities on coronavirus disease 2019
(COVID-19) mortality may promote the importance of targeting populations at risk to improve …

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

PWG Tennant, EJ Murray, KF Arnold… - International journal …, 2021 - academic.oup.com
Abstract Background Directed acyclic graphs (DAGs) are an increasingly popular approach
for identifying confounding variables that require conditioning when estimating causal …

Long-term exposure to multiple ambient air pollutants and association with incident depression and anxiety

T Yang, J Wang, J Huang, FJ Kelly, G Li - JAMA psychiatry, 2023 - jamanetwork.com
Importance Air pollution is increasingly recognized as an important environmental risk factor
for mental health. However, epidemiologic evidence on long-term exposure to low levels of …

Humidity's role in heat-related health outcomes: a heated debate

JW Baldwin, T Benmarhnia, KL Ebi, O Jay… - Environmental …, 2023 - ehp.niehs.nih.gov
Background: As atmospheric greenhouse gas concentrations continue to rise, temperature
and humidity will increase further, causing potentially dire increases in human heat stress …

Tutorial on directed acyclic graphs

JC Digitale, JN Martin, MM Glymour - Journal of Clinical Epidemiology, 2022 - Elsevier
Directed acyclic graphs (DAGs) are an intuitive yet rigorous tool to communicate about
causal questions in clinical and epidemiologic research and inform study design and …

Causal inference and counterfactual prediction in machine learning for actionable healthcare

M Prosperi, Y Guo, M Sperrin, JS Koopman… - Nature Machine …, 2020 - nature.com
Big data, high-performance computing, and (deep) machine learning are increasingly
becoming key to precision medicine—from identifying disease risks and taking preventive …

Risk factors for knee osteoarthritis after traumatic knee injury: a systematic review and meta-analysis of randomised controlled trials and cohort studies for the …

JL Whittaker, JM Losciale, CB Juhl… - British journal of sports …, 2022 - bjsm.bmj.com
Objective To identify and quantify potential risk factors for osteoarthritis (OA) following
traumatic knee injury. Design Systematic review and meta-analyses that estimated the odds …

[HTML][HTML] The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study

NJ Cheetham, R Penfold, V Giunchiglia, V Bowyer… - …, 2023 - thelancet.com
Background Cognitive impairment has been reported after many types of infection, including
SARS-CoV-2. Whether deficits following SARS-CoV-2 improve over time is unclear. Studies …

Systematic review of the prevalence of long COVID

M Woodrow, C Carey, N Ziauddeen… - Open forum …, 2023 - academic.oup.com
Background Long COVID occurs in those infected with severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) whose symptoms persist or develop beyond the acute phase …

Control of confounding and reporting of results in causal inference studies. Guidance for authors from editors of respiratory, sleep, and critical care journals

DJ Lederer, SC Bell, RD Branson… - Annals of the …, 2019 - atsjournals.org
The views and recommendations made in this document do not represent the official
position of any publisher or professional medical society. This document has not been …