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Enregistrement W2951434402 · doi:10.1097/prs.0000000000005822

Reply: Treatment of Severe Gynecomastia after Massive Weight Loss: Analysis of Long-Term Outcomes Measured with the Italian Version of the BODY-Q

2019· letter· en· W2951434402 sur OpenAlexaffabout
Lotte Poulsen, Manraj Kaur, Andrea L. Pusic, Anne F. Klassen

Notice bibliographique

RevuePlastic & Reconstructive Surgery · 2019
Typeletter
Langueen
DomaineMedicine
ThématiqueMale Breast Health Studies
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésDanishChecklistNorwegianScale (ratio)GermanKnowledge translationMedicineHealth carePsychologyMedical educationLinguisticsComputer scienceCognitive psychologyPolitical science

Résumé

récupéré en direct d'OpenAlex

Sir: We would like to congratulate Barone and colleagues on their rigorous efforts to translate and culturally adapt the BODY-Q into the Italian language.1 The BODY-Q is a patient self-reported outcome measure developed for patients who undergo weight loss or body contouring.2 The BODY-Q is composed of 18 independently functioning scales that measure three domains (i.e., appearance, quality of life, and experience of health care) and a 10-item obesity-specific symptom checklist. Based on patient and expert feedback, several new appearance scales were recently added, namely, chest and nipple scales for men undergoing chest contouring surgery and a stretch marks scale. The BODY-Q, original developed in English, now has 10 translations available (i.e., Danish, Dutch, Finnish, French, German, Italian, Norwegian, Polish, Spanish, and Swedish), facilitating widespread uptake in research and clinical practice. When a patient-reported outcome measure is adapted to a country or language, it is essential to perform a thorough translation and linguistic validation. There are numerous methods in the literature available to guide the translation process.3 To develop the Danish translation, our team combined the widely used guidelines outlined by the International Society for Pharmacoeconomics and Outcomes Research,4 with supplemental steps outlined by the World Health Organization.5 This combined approach included the following steps: We obtained permission to use the BODY-Q, invited the developers to the study, and developed explanations for the concepts of the BODY-Q. Two independent forward translations (both translators had Danish as their first language and were fluent in English) followed by harmonization, leading to Danish version 1. Backward translation (the translator had English as their first language and was fluent in Danish). Comparison of the original BODY-Q and back-translated versions, and harmonization, leading to Danish version 2. An expert panel meeting held with the participation of all translators and clinicians (bariatric and body contouring surgeons) to ensure that the translated version was clinically relevant. Harmonization after expert panel meeting led to Danish version 3. Cognitive patient interviews performed to determine whether the translation was understandable and relevant for all patients which, following adjustments, led to Danish version 4. Danish version 4 was tested in further cognitive patient interviews to determine whether changes were appropriate. Finally, the Danish translated BODY-Q was independently proofread by two clinicians, leading to the final Danish version of the BODY-Q.6 To translate the BODY-Q into Italian, Barone and colleagues also followed the rigorous multistep process that combined the International Society for Pharmacoeconomics and Outcomes Research and World Health Organization guidelines. We agree with Barone et al. that cognitive interviews for patients should be completed before the Italian version of the BODY-Q is implemented in clinical practice. Patient-reported outcome measures are increasingly being used in clinical practice to measure patient outcomes and to inform shared decision-making. Patient-reported outcome measure data are also used to inform policy decisions, in development of patient education programs, and for comparative effectiveness research. A thorough linguistic and psychometric validation of a patient-reported outcome measure following rigorous guidelines, such as those put forth by the International Society for Pharmacoeconomics and Outcomes Research and the World Health Organization, provides a robust basis for all the above uses and allows for future international comparative research of patient-reported outcome data. DISCLOSURE The BODY-Q is owned by McMaster University and Memorial Sloan-Kettering Cancer Center. Drs. Klassen and Pusic are co-developers of the BODY-Q and, as such, could potentially receive a share of any license revenues as royalties based on their institution’s inventor sharing policy. The authors declare that they have no competing interests. Lotte Poulsen and Manraj Kaur have no financial disclosures to report. Lotte Poulsen, M.D.Department of Plastic SurgeryOdense University HospitalOdense, Denmark Manraj N. Kaur, P.T., M.Sc.(Rehab.)School of Rehabilitation ScienceMcMaster UniversityHamilton, Ontario, Canada Andrea L. Pusic, M.D., M.Sc.Brigham and Women’s HospitalBoston, Mass. Anne F. Klassen, D.Phil.Department of PediatricsMcMaster UniversityHamilton, Ontario, Canada

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,042
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,017
Tête enseignante GPT0,244
Écart entre enseignants0,228 · 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.

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

Citations0
Publié2019
Routes d'admission2
Résumé présentoui

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