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Enregistrement W7161971533 · doi:10.82308/37542

The frailty of constructs and the construct of frailty in geriatric medicine and research

2022· dissertation· en· W7161971533 sur OpenAlexaboutno aff
Quôc Dinh Nguyên

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineMedicine
ThématiqueFrailty in Older Adults
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConstruct (python library)GeriatricsContext (archaeology)Health careConceptual frameworkClinical PracticeMultimorbidityMEDLINEUnderpinning

Résumé

récupéré en direct d'OpenAlex

Frailty has been defined as a “state of increased vulnerability” which increases the risk of adverse outcomes. Although there is currently no consensus definition, frailty has been consistently associated with death, institutionalization, and disability. These associations have driven strong, but mostly unheeded, calls from the research and clinical community to include frailty in clinical care processes. Geriatric research and practice rely on age-related constructs which diverge from the traditional biomedical model of disease: frailty, multimorbidity, and other geriatric syndromes are used to describe and characterize the variability in the health status of older adults. Despite interest for such constructs, issues related to their definition, reliability, and applicability in the context of clinical practice have not been well explored.The overarching objective for this dissertation was to explore the conceptual underpinning and clinical applicability of age-related constructs, with an emphasis on frailty. The first objective was to examine whether older adults show increasing heterogeneity with age, as a motivation for developing age-specific constructs. A novel application of methods was used to disentangle the within-age and between-age variability of 34 health characteristics within eight domains in 30,097 participants from the Canadian Longitudinal Study on Aging (CLSA). I demonstrated that heterogeneity increases with aging, but not for all health characteristics and domains, and not uniformly. Clinical implications and research opportunities of heterogeneity include the importance of the comprehensive geriatric assessment, of measurement and scaling of variables, and the need to develop new multidimensional constructs that distinguish older adults among themselves. The second objective was to examine the measurement of age-related constructs. I investigated the reliability and clinical correlates of reliability of the deficit-accumulation frailty index. Monte Carlo methods were used to simulate 12,000 studies comparing various implementations of the frailty index in 12,080 participants 65 years and older from the CLSA. I showed that the number and composition of items of individual FIs strongly influence their reliability. Descriptive estimates using frailty indices and predictive estimates between frailty indices and mortality varied between implementations. This lack of reliability and stability of estimates lowers the generalizability and clinical application of study findings.The third objective focused on determining the applicability of study results to clinical practice. A literature search was conducted to identify 26 existing frameworks appraising study “applicability.” I analyzed and synthesized frameworks and criteria according to the scope and level of aggregation of the evidence appraised, the target user, and the specific area of applicability. A novel framework to appraise clinical applicability was proposed which categorizes studies into three evidence domains (research domain, practice informing, and practice changing) using six criteria (Validity, Indication-informativeness, Clinical relevance, Originality, Risk-benefit comprehensiveness, and Transposability, VICORT).This framework was used for the fourth objective to appraise the clinical applicability of recently published articles on frailty. A mapping review was conducted by sampling 476 articles published in 2017–2018 and investigating whether these articles informed practice, changed practice, or belonged in the research domain. Among all articles, 63 (13%) articles were categorized as practice informing, 11 (2%) as potentially practice changing, and 1 (0.2%) as clearly practice changing. The lack of indication-informativeness (96%) and originality (83%) were the most important reasons hampering clinical applicability. Recommendations are proposed for future research on frailty, which may also extend to other age-related constructs

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)0,041
score de la tête « metaresearch » (Gemma)0,056
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,041
Score d'incertitude au seuil0,217

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0410,056
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,006
Études des sciences et des technologies0,0020,013
Communication savante0,0050,005
Science ouverte0,0010,006
Intégrité de la recherche0,0010,004
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 Opus0,053
Tête enseignante GPT0,388
Écart entre enseignants0,335 · 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'étudeThéorique ou conceptuel
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
Publié2022
Routes d'admission1
Résumé présentoui

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