Evidence map›Paper›PMID 40832561›Full record

ArticleJournal of pain research2025

Early Musculoskeletal Pain Management in the General Practitioner's Office & E-Referral: A Multidisciplinary Expert Opinion.

Fabrizio Gervasoni, Giacomo Farì, Massimiliano Franco, Sara Liguori, Luca Maschietto, Raffaella Michieli, Emanuela Raimondo, Dalila Scaturro, Giuseppe Ventriglia, Alberto Magni

Abstract read
In one paragraph

Article in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Fabrizio GervasoniASST Fatebenefratelli Sacco, Milan, Italy.ORCID 0000-0003-4507-3679
Giacomo FarìDepartment of Experimental Medicine (Di.Me.S.), University of Salento, Lecce, Italy.
Massimiliano FrancoSIMG (Italian College of General Practitioners and Primary Care), Florence, Italy.
Sara LiguoriDepartment of Medical and Surgical Specialties and Dentistry, University of Campania "Luigi Vanvitelli", Naples, Italy.ORCID 0000-0002-8707-2482
Luca MaschiettoASUGI, Trieste, Italy.
Raffaella MichieliSIMG (Italian College of General Practitioners and Primary Care), Florence, Italy.
Emanuela RaimondoOrthopedics Unit, Casa di Cura San Pio X Humanitas, Milan, Italy.
Dalila ScaturroDepartment of Surgical, Oncological and Stomatological Disciplines, University of Palermo, Palermo, Italy.
Giuseppe VentrigliaSIMG (Italian College of General Practitioners and Primary Care), Florence, Italy.
Alberto MagniSIMG (Italian College of General Practitioners and Primary Care), Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Musculoskeletal pain (MP) is a significant burden in primary care, often presenting challenges for general practitioners (GPs) in providing timely and effective management. Despite MP's prevalence, GPs face limitations in diagnostic resources and access to specialists, which can delay intervention and increase the risk of pain chronicity. This multidisciplinary expert opinion aims to establish a structured approach for the management of MP within general practice, using three targeted algorithms: (1) early management of acute MP in the GP's office, (2) post-surgical MP management to support recovery, and (3) MP management following emergency discharge. Patients and Methods: A panel of GPs, physiatrists, and orthopedists collaborated to develop practical recommendations based on current clinical guidelines, emphasizing early diagnosis, initial pain control, and effective e-referral pathways. During an onsite meeting, they created an algorithm to identify waiting therapy for patients with pain, in order to help GPs in this difficult task. Results: The first algorithm focuses on early intervention for acute MP in primary care, with recommendations for both pharmacological and non-pharmacological approaches. The second algorithm addresses post-surgical MP management to enhance recovery and reduce complications. The third algorithm outlines post-emergency management strategies, emphasizing immediate pain relief and integrating patient education to support home management. E-referral and teleconsultation are incorporated throughout to enhance care coordination. Conclusion: These three algorithms provide a structured framework for MP management in primary care, placing GPs at the centre of early intervention. The inclusion of telemedicine and e-referral pathways allows for timely specialist input, ultimately aiming to improve patient outcomes and minimize chronic pain risks.

Indexed as

early pain managemente-referralgeneral practicemultidisciplinary approachmusculoskeletal paintelemedicine

Identifiers

PMID40832561
PMCPMC12358501

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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.