Evidence map›Paper›PMID 41227055›Full record

ReviewJournal of clinical medicine2025

"Pain Prehabilitation" in Major Joint Surgery: The Way Forward to Improve Outcomes and Prevent Pain Chronicity.

Flaminia Coluzzi, Alberto Di Martino

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Flaminia ColuzziDepartment of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy.ORCID 0000-0001-7184-5519
Alberto Di Martino1st Orthopedic Department, IRCCS-Istituto Ortopedico Rizzoli, 40136 Bologna, Italy.ORCID 0000-0002-0716-4951

Funding

Grunenthal Srl Italy Not applicable
6 · The paper itself

Abstract

Osteoarthritis (OA) is one of the most frequent orthopedic disorders and a common cause of chronic pain, which is one of the most important factors in recommending total joint arthroplasty (TJA). Due to a greater need for pain relief and improved mobility in the OA population, TJA procedures are in high demand, and most patients with OA experience long waiting times. Waiting for TJA places a significant burden on patients as a result of worsening pain and functional deterioration. Therefore, optimizing pre-operative circumstances in these patients is essential to target analgesic interventions, preserve post-operative quality of life, and minimize post-operative outcomes such as chronic post-surgical pain. Achieving optimal pain control before surgery remains an unmet need, and it is difficult to devise a one-size-fits-all analgesic regimen. Pain is a challenge for orthopedic healthcare professionals (OHCPs), and orthopedic patients are notably less satisfied than patients undergoing other surgeries in terms of pain management. We reviewed the latest clinical evidence on pain management in patients with OA wait-listed for TJA to help OHCPs effectively manage their pain. Here, we provide actionable suggestions to strengthen orthopedic surgeons' competency in pain assessment and therapy selection. By integrating the perspectives of an orthopedic surgeon and a pain therapist, we also introduce the concept of "pain prehabilitation" and propose integrating it into standard care protocols during the TJA wait-list period to optimize TJA outcomes and prevent the development of chronic post-surgical pain.

Indexed as

arthroplastychronic post-surgical painhipkneeosteoarthritisperi-operative painpost-operative painprehabilitation

Identifiers

PMID41227055
PMCPMC12609228

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.