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Enregistrement W3128467948 · doi:10.1111/ced.14597

Patient perspectives of the cumulative life course impairment of alopecia areata

2021· letter· en· W3128467948 sur OpenAlexaboutno aff
Laura Burns, Kelly E. Flanagan, James T. Pathoulas, Abby Ellison, Natasha Atanaskova Mesinkovska, Maryanne M. Senna

Notice bibliographique

RevueClinical and Experimental Dermatology · 2021
Typeletter
Langueen
DomaineMedicine
ThématiqueHair Growth and Disorders
Établissements canadiensnon disponible
Organismes subventionnairesNational Alopecia Areata Foundation
Mots-clésAlopecia areataMedicineDermatologyLife course approachPediatricsPsychologyDevelopmental psychology

Résumé

récupéré en direct d'OpenAlex

Alopecia areata (AA) is an unpredictable form of inflammatory hair loss often viewed as a cosmetic condition, rather than a medical disease.1, 2 This perception prevails despite substantial evidence illustrating the negative effects of AA on quality of life and its associated psychological, social and financial burdens. The Cumulative Life Course Impairment (CLCI) model is a relatively new approach to characterizing these compounding disease effects. First proposed by Kimball et al. in 2010, the CLCI concept serves as a proxy for longitudinal data and aims to describe why some patients fail to achieve their ‘full life potential’.3 Previously, cross‐sectional data were compiled to describe the culmination of stigmatization, physical and psychological comorbidities, social and economic implications, and coping strategies in AA (Fig. 1).4 As a supplement, we interviewed four patients with moderate to severe AA. Each patient case is briefly summarized below and aligned with the CLCI model and current literature in Table S1. By exploring the CLCI through the patient lens, we hope to capture what many practitioners understand intuitively – that the effects of AA are broad and often long‐lasting. We aim to reinforce the importance of the model as a potential tool in identifying at‐risk patients, promoting early intervention and expanding access to medically necessary treatments. Components of the Cumulative Life Course Impairment (CLCI) model applied to alopecia areata (AA). Patient 1 was a 29‐year‐old woman with abrupt onset of alopecia universalis (AU) following a severe allergic reaction at 26 years of age. She was successfully treated with oral Janus kinase (JAK) inhibitors, which was fortunately covered by a pharmaceutical patient assistant programme. The unpredictability of AA and her fears of returning depression, anxiety and suicidal ideation have prevented her discontinuation of the medication in order to conceive, given the uncertain safety profile of this drug in pregnancy. The patient’s story is told in our related article.5 Patient 2 was a 14‐year‐old boy who developed patchy AA at the age of 12 years, and the condition abruptly progressed to alopecia totalis with concurrent facial vitiligo during high school. The patient’s medical insurance denied coverage for nearly all treatments other than corticosteroids and his family is burdened by medical costs, which they pay in instalments. Once an outgoing athlete, the patient became socially withdrawn, enduring bullying, quitting sports teams and staying behind a grade in high school. Patient 3 first experienced AA at the age of 19 years, which progressed to 90% scalp hair loss. As a high schooler, he felt stripped of his identity, bound to glasses and hats for camouflage. He was fearful of social situations where he could not hide his hair loss, avoiding pools, beaches and sports. He has remained unresponsive to JAK inhibitors, which were procured from Canada to decrease out‐of‐pocket costs. Patient 4 was 4 years old when her mother noticed patches of hair loss. The condition resumed when the patient was in middle school, and progressed to AU when she was in college. Now a successful physician, the patient has learned to embrace AA as part of her identity, frequently encountering the misperception that she does not struggle with her hair loss. Despite the patient’s strong coping skills, the disease continues to bring curious looks, hurtful comments about her appearance and worry about any future children inheriting an autoimmune disease. Patient experiences with AA are highly variable, individualized and challenging to characterize with traditional cross‐sectional studies and surveys. These case reports illustrate the broad effects of AA based on severity, timing, access to treatments, financial resources and social support. All of the patients interviewed believe that their lives would have followed a different course if they had never been affected by AA. Our hope is these narratives, in combination with the CLCI model, demonstrate that regardless of current quality of life assessment, AA has the potential to positively and negatively alter overall life trajectory. This project was partly funded by a National Alopecia Areata Foundation medical student research award. Conflict of interest: the authors declare that they have no conflicts of interest. Linked article: Burns LJ et al. Alopecia universalis: a patient’s perspective of the cumulative life course impairment. Clin Exp Dermatol 2021. Tab S1. Experiences described in patient narratives supported by cross‐sectional evidence of the Cumulative Life Course Impairment (CLCI) model.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,030
Tête enseignante GPT0,350
Écart entre enseignants0,320 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations4
Publié2021
Routes d'admission1
Résumé présentoui

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