Protocol for Personalised Prediction of Persistent Postsurgical Pain

Authors

Stephen H. Gregory (ORCID: https://orcid.org/0000-0002-6476-3379)
Denise Head
Thomas Kannampallil (ORCID: https://orcid.org/0000-0003-4119-4836)
Ziqi Xu
Christopher R. King (ORCID: https://orcid.org/0000-0002-4574-8616)
Madelyn Frumkin
Karen A Frey
Katherine J Holzer
Harutyun Alaverdyan
Chenyang Lu
Thomas L Rodebaugh
Simon Haroutounian

Institutions

Dartmouth College (US)
University of North Carolina at Chapel Hill (US)
Washington University in St. Louis (US)
University of Missouri–St. Louis (US)
Missouri Institute of Mental Health (US)
Hologic (Germany) (DE)

Publication Details

Journal: BMJ Open
Published: 2026-02-01
DOI: https://doi.org/10.1136/bmjopen-2025-107055
Primary Topic: Anesthesia and Pain Management
Type: article
Field-Weighted Citation Impact: 0.00

Funders

U.S. Department of Defense
National Institutes of Health
Agency for Healthcare Research and Quality
National Cancer Institute
U.S. National Library of Medicine
National Center for Advancing Translational Sciences
Congressionally Directed Medical Research Programs

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article

Protocol for Personalised Prediction of Persistent Postsurgical Pain

Stephen H. Gregory, Denise Head, Thomas Kannampallil, Ziqi Xu et al.

Feb 1, 2026

BMJ Open

Anesthesia and Pain Management

article

Protocol for Personalised Prediction of Persistent Postsurgical Pain

Stephen H. Gregory, Denise Head, Thomas Kannampallil, Ziqi Xu, Christopher R. King, Madelyn Frumkin, Karen A Frey, Katherine J Holzer, Harutyun Alaverdyan, Chenyang Lu, Thomas L Rodebaugh, Simon Haroutounian

February 1, 2026article en

Abstract

No abstract available for this paper.

BMJ OpenVol. 16(2)

Dartmouth College (US), University of North Carolina at Chapel Hill (US), Washington University in St. Louis (US), University of Missouri–St. Louis (US), Missouri Institute of Mental Health (US), Hologic (Germany) (DE)

U.S. Department of Defense, National Institutes of Health, Agency for Healthcare Research and Quality, National Cancer Institute, U.S. National Library of Medicine, National Center for Advancing Translational Sciences, Congressionally Directed Medical Research Programs

Openalex Percentile: Top 67%

Anesthesia and Pain Management

DOI Open Access PDF OpenAlex

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Protocol for Personalised Prediction of Persistent Postsurgical Pain — Stephen H. Gregory, Denise Head, et al. · BMJ Open (2026) | TGRS Research Map | TGRS