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Enregistrement W4407755728 · doi:10.1097/j.pain.0000000000003569

The value of equity, diversity, and inclusion principles and sex/gender considerations in pain research

2025· article· en· W4407755728 sur OpenAlexaffabout
Karen D. Davis

Notice bibliographique

RevuePain · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueMusculoskeletal pain and rehabilitation
Établissements canadiensUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésInclusion (mineral)Equity (law)Diversity (politics)Value (mathematics)Gender diversityGender equityPsychologyChronic painSociologyGender studiesSocial psychologyPolitical sciencePsychiatryEconomicsAnthropologyMathematicsStatisticsManagement

Résumé

récupéré en direct d'OpenAlex

The enormity of suffering due to pain worldwide is undeniable.11 The “one size fits all” model for pain science and pain management is a poor approach to chronic pain and even for some acute pains. The promise of better pain management comes from the discovery of individual differences in the sensitivity, tolerance/coping, and experience of pain, along with the growing investment to find diagnostic, predictive, and prognostic biomarkers of chronic pain treatment outcomes.4,6,15 At the core of this framework is the concept of precision or personalized medicine, based on the need to find the right treatment for the right person at the right time, at a given place.2 The latter issue is not always considered, but an equitable system of pain management must consider the socioeconomic factors and unconscious biases related to sex, race, religion, class, and other attributes that can result in pain treatment inequities.1,7,9 Therefore, given the exciting potential of personalized medicine,2 it is of utmost importance to ensure that scientific discovery and clinical trials are able to collect and analyse data of individuals' characteristics, demographics, and personal circumstances of living conditions so that factors can be disaggregated if needed. Furthermore, we must ensure that such factors are included in databases that are used to create artificial intelligence algorithms to guide clinical decision-making. There have been decades of careful study to advance the understanding of the spectrum of sex/gender,8 as well as diversity, equity, and inclusion (DEI). This has led to a slow but steady appreciation for the complexities of these issues and improvements in some parts of the world in how pain research and management is conducted. In 2024, the International Association for the Study of Pain (IASP) designated a Global Year awareness campaign to address “Sex and Gender Disparities in Pain” and provided fact sheets for a variety of topics including “Pain and Gender Diversity—Beyond the Binary” (see https://www.iasp-pain.org/advocacy/global-year/sex-and-gender-disparities-in-pain/). Our ability to conduct scientific research and provide clinical care can be facilitated or hampered by our cultural, societal, and political environment. A positive impact can lead to advancements and ultimately improve care for those suffering with pain. However, impediments to the funding of scientific discovery and the dissemination of clinical care may ultimately lead to worse lives for those suffering with pain. Scientific advancement has always benefited from a diversity of perspectives and “out of the box” thinking. There is also tremendous value in the knowledge gained from the experiences, challenges, and solutions found to address the complexities of healthcare needs and educational programs worldwide. That is why we all can benefit from the IASP's 2025 Global Year of Pain Management, Research, and Education in Low- and Middle-Income Settings (see https://www.iasp-pain.org/advocacy/global-year/pain-management-research-and-education-in-low-and-middle-income-settings/) including fact sheets, a pain centre tool kit (https://www.iasp-pain.org/resources/toolkits/pain-management-center/), a pain camp, as well as selected articles in this journal (https://journals.lww.com/pain/pages/collectiondetails.aspx?TopicalCollectionId=27) and in PAIN Reports. The issue of “merit” is often said to be at the centre of decision-making regarding what science should do, who should do it, how it is funded, and where it can be published, but defining “merit” is not always clear. Merit is a measure of value, quality, and impact. Front and centre in judging the merit or value of science is often its novelty, quality, and sometimes the clarity of how findings are communicated. These attributes are usually clear, but impact can be less obvious if one is not fully open to adopting new approaches based on the experiences and data from other places and fields. Impact is also often seen through the lens of one's personal or professional circumstances in the present. What is much more difficult, but essential, is to apply a broader lens to consider impact across place and time that is outside of one's own experience. Adopting this broader perspective can be difficult, but the outcome can be transformative. Thus, there can be tremendous merit to incorporating perspectives from outside our specific setting into our daily practice—this is why we should all be paying attention to work coming from diverse voices and places. In 2023, the Editors-in-Chief (EiCs) of 8 American, Canadian, European, and international pain journals published a joint editorial entitled “Promoting inclusion, diversity, and equity in pain science.”10 In this article, we established 4 guiding principles with recommendations for authors, reviewers, editors, and publishers: (1) Promote inclusive and representative scholarship and fair, unbiased reviews. (2) Use language that is inclusive and minimizes bias. (3) Include representative populations in pain research and comprehensively report data for demographic variables. (4) Report demographic variables and use social frameworks for interpretations. PAIN's commitment to equity, diversity, and inclusion principles, as well as the call for consideration of the impact of sex and gender in research findings, was also emphasized in my editorial as incoming EiC.3 This year, we will be publishing updated guidelines for reporting sex and gender in basic and clinical studies published in our journal.5 Recent proclamations and executive orders by the new President of the United States pertaining to DEI, sex/gender, and merit-based hiring12–14 may have a chilling effect on the desire and ability of some working in the pain field to pursue research that incorporates all the factors that contribute to a better understanding of the individual differences in pain and nociception, and equitable access to pain care. Denial that certain diversities exist or banning the use of terminologies and classifications along spectrums does not negate the reality of personal identity and the underlying neurobiology. As EiC of PAIN, I wish to reaffirm our commitment to the value of considering diversity (including DEI and sex/gender identity) in the context of scientific advancements and translation to and development of clinical care and educational programs toward a personalized approach to pain management. Conflict of interest statement The author has no conflict of interest to declare.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,024
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,058
Score d'incertitude au seuil0,966

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0240,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,004
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,091
Tête enseignante GPT0,391
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations22
Publié2025
Routes d'admission2
Résumé présentoui

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