Opioid use after breast cancer in Denmark: a nationwide study of social and clinical factors

Opioid use after breast cancer was uncommon and declined over time in Denmark. Nonetheless, social and clinical disparities persisted, highlighting the importance of survivorship care that balances safe prescribing with adequate pain management.

Authors

Institutions

Publication Details

Journal
JNCI Journal of the National Cancer Institute
Published
2026-02-24
DOI
https://doi.org/10.1093/jnci/djag052
Primary Topic
Cancer, Stress, Anesthesia, and Immune Response
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Opioid use after breast cancer in Denmark: a nationwide study of social and clinical factors

Lidia Schapira, Kirsten M. Woolpert, Deirdre Cronin‐Fenton, Anders Kjærsgaard
JNCI Journal of the National Cancer Institute
Cancer, Stress, Anesthesia, and Immune Response
article

Opioid use after breast cancer in Denmark: a nationwide study of social and clinical factors

Lidia Schapira, Kirsten M. Woolpert, Deirdre Cronin‐Fenton, Anders Kjærsgaard
article en

Abstract

Opioid use after breast cancer was uncommon and declined over time in Denmark. Nonetheless, social and clinical disparities persisted, highlighting the importance of survivorship care that balances safe prescribing with adequate pain management.

JNCI Journal of the National Cancer Institute
Palo Alto University (US), Aarhus University Hospital (DK), Stanford Medicine (US), Stanford University (US)
Openalex Percentile: Top 48%
Cancer, Stress, Anesthesia, and Immune Response
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.