Evidence map›Paper›PMID 41209743›Full record

ArticleJournal of pain research2025

Optimal Information for Chronic Pain (OICP): Delphi Consensus on Patient Assessment and Interventional Techniques.

Victor Frutos, Diego Delgado, Tomas Cuñat, José Luis Aguilar, Jordi Recasens-Urbez, Marta Homs, Almudena Fernandez-Bravo, Rosa María Izquierdo, Juan Munoz-Ortego, Mikel Sánchez and 3 more

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Victor FrutosPain Management Unit, Hospital Quironsalud Palmaplanas, Palma, Spain.ORCID 0000-0002-4746-9952
Diego DelgadoAdvanced Biological Therapy Unit, Hospital Vithas Vitoria, Vitoria-Gasteiz, Spain.ORCID 0000-0002-0494-0804
Tomas CuñatPain Management Unit, Hospital Clínic de Barcelona, Barcelona, Spain.ORCID 0000-0002-6475-9230
José Luis AguilarPain Management Unit, Hospital Quironsalud Palmaplanas, Palma, Spain.
Jordi Recasens-UrbezPain Management Unit, Hospital Universitari Dexeus, Barcelona, Spain.
Marta HomsPain Management Unit, Hospital Universitari Dexeus, Barcelona, Spain.ORCID 0000-0002-0218-9228
Almudena Fernandez-BravoDepartment of Physical Medicine and Rehabilitation, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.ORCID 0000-0002-6293-3151
Rosa María IzquierdoPain Management Unit, Hospital La Fe, Valencia, Spain.
Juan Munoz-OrtegoCentro Médico Teknon & CEO Regenera Medical Center, Barcelona, Spain.
Mikel SánchezAdvanced Biological Therapy Unit, Hospital Vithas Vitoria, Vitoria-Gasteiz, Spain.ORCID 0000-0001-9992-6927
Carlos Cordero-GarcíaDepartment of Physical Medicine and Rehabilitation, Hospital Universitario Juan Ramón Jiménez, Huelva, Spain.ORCID 0000-0002-7359-3404
David AbejónPain Management Unit, Hospital Universitario Quirónsalud Madrid, Madrid, Spain.
María CayuelaBioSmartData SL, Marratxí, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Chronic pain is characterized by a persistence beyond the healing time of the injury. However, clinical documentation in this field remains highly variable, limiting the quality of patient care and research. Due to its multifactorial nature, a comprehensive evaluation of the methods used is essential. The objective of this work was to develop a consensus to define the optimal requirements for the evaluation of patients with chronic pain, with implications for real-world data analysis, predictive modeling, and standardized care pathways. Patients and Methods: A Delphi method was employed to gather expert opinions and to establish optimal criteria for evaluating chronic pain patients. After composition of the steering group and selection of the expert panel, based on clinical experience and multidisciplinary background, three surveys were conducted related to patient/pathology, treatment and follow-up. Survey items were derived from literature review and clinical guidelines and rated on a 5-point Likert scale. Three rounds per survey were conducted and the variables were categorized as essential if more than 70%/70%/75% of the experts agreed and less than 20%/10%/5% disagreed in each of the 3 rounds. The variables on which there was most consensus cover the whole pain management, including demographics, pain treatments, and follow-up assessing pain and medication consumption. Results: The number of variables considered essential to be collected were 38/60 in patient/pathology survey, 103/150 in treatment survey and 13/34 in follow-up survey, reaching an overall percentage of 63.1%. The variables on which there was most consensus cover all pain management, including demographics, pain treatments, and follow-up assessing pain and medication use. Conclusion: This work identifies several variables considered essential in the management of chronic pain patients, covering aspects related to the patient, pathology, treatment and follow-up, pointing out the importance of consensus within this field of medicine.

Indexed as

clinical data collectionconsensus methodologyhealth information standardizationmultidisciplinary evaluationpain medicinereal-world data

Identifiers

PMID41209743
PMCPMC12593803

What OpenQuestion holds

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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.