Brooke Levis

ORCID: 0000-0002-4310-3689
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About
Contact & Profiles
Research Areas
  • Systemic Sclerosis and Related Diseases
  • Maternal Mental Health During Pregnancy and Postpartum
  • Mental Health Treatment and Access
  • Meta-analysis and systematic reviews
  • Mental Health Research Topics
  • Health Systems, Economic Evaluations, Quality of Life
  • Cardiac Health and Mental Health
  • Child and Adolescent Psychosocial and Emotional Development
  • Health disparities and outcomes
  • Family Support in Illness
  • Maternal and Perinatal Health Interventions
  • Suicide and Self-Harm Studies
  • Inflammatory Myopathies and Dermatomyositis
  • Dermatologic Treatments and Research
  • Autoimmune Bullous Skin Diseases
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Health and Well-being Studies
  • Health and Wellbeing Research
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Body Image and Dysmorphia Studies
  • Grief, Bereavement, and Mental Health
  • Long-Term Effects of COVID-19
  • Dementia and Cognitive Impairment Research
  • MRI in cancer diagnosis

Keele University
2020-2024

Jewish General Hospital
2015-2024

McGill University
2015-2024

Université Paris Cité
2024

Hamilton Health Sciences
2024

AGH University of Krakow
2024

Ottawa Hospital
2024

University of Toronto
2024

Juravinski Hospital
2024

Cornell University
2024

Sean McGrath Xiaofei Zhao Russell Steele Brett D. Thombs Andrea Benedetti and 93 more Brooke Levis Kira E. Riehm Nazanin Saadat Alexander W. Levis Marleine Azar Danielle B. Rice Kuan‐Pin Su Ankur Krishnan Chen He Yin Wu Parash Mani Bhandari Dipika Neupane Mahrukh Imran Jill Boruff Pim Cuijpers Simon Gilbody John P. A. Ioannidis Lorie A. Kloda Dean McMillan Scott B. Patten Ian Shrier Roy C. Ziegelstein Dickens H. Akena Bruce Arroll Liat Ayalon Hamid Reza Baradaran Murray Baron Anna Beraldi Charles H. Bombardier Peter Butterworth Gregory Carter Marcos Hortes Nisihara Chagas Juliana C.N. Chan Rushina Cholera Neerja Chowdhary Kerrie Clover Yeates Conwell Janneke M. de Man‐van Ginkel Jaime Delgadillo Jesse R. Fann Felix Fischer Benjamin Fischler Daniel Fung Bizu Gelaye Felicity Goodyear‐Smith Catherine G. Greeno Brian J. Hall Patricia A. Harrison Martin Härter Ulrich Hegerl Leanne Hides Stevan E. Hobfoll Marie Hudson Thomas Hyphantis Masatoshi Inagaki Khalida Ismail Nathalie Jetté Mohammad E. Khamseh Kim M. Kiely Yunxin Kwan Femke Lamers Shen‐Ing Liu Manote Lotrakul Sônia Regina Loureiro Bernd Löwe Laura Marsh Anthony McGuire Sherina Mohd Sidik Tiago N. Munhoz Kumiko Muramatsu Flávia de Lima Osório Vikram Patel Brian W. Pence Philippe Persoons Angelo Picardi Katrin Reuter Alasdair G Rooney Iná S. Santos Juwita Shaaban Abbey Sidebottom Adam Simning Lesley Stafford Sharon C. Sung Pei Lin Lynnette Tan Alyna Turner Christina M. van der Feltz‐Cornelis Henk van Weert Paul A. Vöhringer Jennifer White Mary A. Whooley Kirsty Winkley Mitsuhiko Yamada Yuying Zhang

Researchers increasingly use meta-analysis to synthesize the results of several studies in order estimate a common effect. When outcome variable is continuous, standard meta-analytic approaches assume that primary report sample mean and deviation outcome. However, when skewed, authors sometimes summarize data by reporting median one or both (i) minimum maximum values (ii) first third quartiles, but do not deviation. To include these meta-analysis, methods have been developed from reported...

10.1177/0962280219889080 article EN Statistical Methods in Medical Research 2020-01-30

Systematic reviews of diagnostic test accuracy (DTA) studies are fundamental to the decision making process in evidence based medicine. Although such regarded as high level evidence, these not always reported completely and transparently. Suboptimal reporting DTA systematic compromises their validity generalisability, subsequently value key stakeholders. An extension PRISMA (preferred items for review meta-analysis) statement was recently developed improve quality reviews. The PRISMA-DTA has...

10.1136/bmj.m2632 article EN BMJ 2020-08-14

Most clinical specialties have a plethora of studies that develop or validate one more prediction models, for example, to inform diagnosis prognosis. Having many model in particular field motivates the need systematic reviews and meta-analyses, evaluate summarise overall evidence available from studies, about predictive performance existing models. Such are fast emerging, should be reported completely, transparently, accurately. To help ensure this type reporting, article describes new...

10.1136/bmj-2022-073538 article EN cc-by BMJ 2023-05-03

Introduction Psychosocial and rehabilitation interventions are increasingly used to attenuate disability improve health-related quality of life (HRQL) in chronic diseases, but typically not available for patients with rare diseases. Conducting rigorous, adequately powered trials these diseases is difficult. The Scleroderma Patient-centered Intervention Network (SPIN) an international collaboration patient organisations, clinicians researchers. aim SPIN develop a research infrastructure test...

10.1136/bmjopen-2013-003563 article EN cc-by-nc BMJ Open 2013-08-01

( BMJ . 2020;371:m4022) Depression in pregnant and postpartum women is common rates of detection management could potentially improve with screening. Self-report depression symptom questionnaires such as the Edinburgh Postnatal Scale (EPDS) be used part a full assessment when suspected. This study individual participant data meta-analysis to assess accuracy EPDS screening whether differs by timing screen, patient age, residence.

10.1097/01.aoa.0000766124.43216.49 article EN Obstetric Anesthesia Digest 2021-08-25

The Scleroderma Patient-centered Intervention Network (SPIN) Cohort is a web-based cohort designed to collect patient-reported outcomes at regular intervals as framework for conducting trials of psychosocial, educational, self-management and rehabilitation interventions patients with SSc. aim this study was present baseline demographic, medical outcome data the SPIN compare it other large SSc cohorts. Descriptive statistics were used summarize characteristics; these compared published...

10.1093/rheumatology/key139 article EN Lara D. Veeken 2018-05-02
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