Lessons learned from Café Scientifique public webinars on pregnancy and parenting in arthritis: perspectives from patients, clinicians, and researchers

These webinars illuminated the profound impacts of arthritis on patients and families and revealed knowledge gaps for future research.

Authors

Institutions

Publication Details

Journal
BMC Proceedings
Published
2025-04-07
DOI
https://doi.org/10.1186/s12919-025-00323-7
Citations
1
Primary Topic
Pregnancy and Medication Impact
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lessons learned from Café Scientifique public webinars on pregnancy and parenting in arthritis: perspectives from patients, clinicians, and researchers

Mary A. De Vera, Preet Kang, Laurie Proulx, Neda Amiri et al.
1 citations
BMC Proceedings
Pregnancy and Medication Impact
1.88
article

Lessons learned from Café Scientifique public webinars on pregnancy and parenting in arthritis: perspectives from patients, clinicians, and researchers

Mary A. De Vera, Preet Kang, Laurie Proulx, Neda Amiri, Vienna Cheng
article en
1 citations

Abstract

These webinars illuminated the profound impacts of arthritis on patients and families and revealed knowledge gaps for future research.

BMC ProceedingsVol. 19(S7)
University of British Columbia (CA), Research Canada (CA), Centre for Advancing Health Outcomes (CA), Canadian Arthritis Patient Alliance (CA)
Canadian Institutes of Health Research
Good health and well-being
Openalex Percentile: Top 17%
Pregnancy and Medication Impact
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.