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Enregistrement W4248781361 · doi:10.31189/2165-6193-8.2.54

Terence Kavanagh, MD, FRCPC, FACC, DSc (Hon) 1927–2018

2019· article· en· W4248781361 sur OpenAlexaboutno aff

Notice bibliographique

RevueJournal of Clinical Exercise Physiology · 2019
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychology

Résumé

récupéré en direct d'OpenAlex

Dr Terrence Kavanagh was born in Manchester, England, and completed his medical undergraduate and postgraduate training at the University of Manchester and the University of London. He immigrated to Canada in 1956. Dr Kavanagh was a clinician, researcher, teacher, and pioneering advocate in the field of cardiac rehabilitation. In many ways, he was both a physician and a clinical exercise physiologist. Dr Kavanagh developed the cardiac rehabilitation program at the Toronto Rehabilitation Centre (TRC) in September 1968 and was its Medical Director until his retirement in 2000. The program grew from fewer than 100 patients in the initial year to about 1,600 referrals annually from more than 400 physicians; thus, because of Dr Kavanagh's vision, the TRC became one of the largest such programs in North America. During his tenure, the program assisted approximately 25,000 patients.Dr Kavanagh was a visionary and innovator in cardiac rehabilitation with many ideas that were revolutionary at the time. Some examples of his clinical innovation include ideas which today's cardiac rehabilitation practice is attempting to incorporate. For instance, he used a combination of 1 weekly supervised exercise session and 4 home exercise sessions; and realizing the benefits of the dose of exercise training, he extended the duration of participation to a 12-month program. He also developed a patient education process for each supervised exercise session; he minimized the use of electrocardiogram monitoring during exercise training to those who might benefit from monitoring (i.e., not every cardiac rehabilitation patient wore a telemetry monitor during supervised exercise training); and he recognized the importance of depression screening and treatment as part of the recovery process.In an interview at the time of his retirement, Dr Kavanagh said the following about developing the TRC:Some of his most innovative work came in the 1970s. At that time, any type of jogging or running was contraindicated for cardiac rehabilitation patients, but in 1973, he prepared a group of postmyocardial infarction patients to be the first patients to finish the Boston Marathon. In 1985, he trained and ran with the first heart transplant patient to complete the same famed marathon. Ironically, that same patient (Brian Price of Caldicot, England) died earlier in the same year as Dr Kavanagh. When interviewed at his retirement, Dr Kavanagh estimated that more than 60 of his patients had run at least one marathon. With the reemergence of heart transplant procedures in the mid-1980s, Dr Kavanagh studied and published much of the early work on exercise testing and prescription in the heart transplant patient population.During his career, Dr Kavanagh was continually active in the education of students, clinical exercise clinicians, and physicians. Health care professionals and students from Canada and around the world benefitted from practicum courses in cardiac rehabilitation at the TRC for many years. He was also a national and international ambassador for clinical exercise and cardiac rehabilitation as an invited speaker at scientific meetings, including the American College of Sports Medicine (ACSM) and the American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR). Dr Kavanagh was also a founding member of the Canadian Association of Cardiac Rehabilitation.This pioneering giant in clinical exercise physiology and cardiac rehabilitation who impacted the lives of so many will be greatly missed by many of his former patients, current and former TRC program staff, and many professionals in the field he helped mentor and who benefitted from his groundbreaking clinical advancements and research.

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)0,000
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,093
Score d'incertitude au seuil0,310

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0930,037

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 Opus0,104
Tête enseignante GPT0,521
Écart entre enseignants0,417 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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'admission1
Résumé présentoui

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