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Enregistrement W2426572089

Heart & Soul: From factory shipper to hospital cardiologist

2002· article· en· W2426572089 sur OpenAlexvenueaboutno aff
Susan Pinker

Notice bibliographique

RevueCanadian Medical Association Journal · 2002
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealthcare Policy and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBattleOfficerMedicineMedical emergencyLawHistory
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

When it comes to medicine, Dr. Sydney Segall takes the long view. The very long view. When the 85-year-old Montreal cardiologist started practising in 1950, there were no pacemakers, angiograms, defibrillators or cardiac care units. And MI patients were treated with 6 weeks of strict bed rest. “We do things differently now,” he says. Segall had his introduction to frontline practice in Normandy. As a medical officer who arrived in France right after D-Day, he witnessed first hand soldiers' shock, battle exhaustion and panic. “These were young kids who watched their friends getting blasted to bits. One sergeant had tremors and could barely talk, but insisted on going back to his unit. I had to decide whether to treat them or send them home. The majority I sent home.” Today, the condition would likely be diagnosed as post-traumatic stress disorder. In 1944, it was called battle fatigue. But while 5 intervening decades have brought dramatic changes to medicine, Segall sometimes gets a sense of deja vu. The waiting lists and bed shortages of 2002? In the '50s, says Segall, beds were tight and there were waiting lists from his first day in practice. The Jewish General Hospital in Montreal had 150 beds when he started practising there. It has 600 today, but the situation hasn't changed. “Even in 1950 it was very difficult to get a patient past the admissions officer.” Has medicare improved access to care? Perhaps, but Segall still remembers the cardiology clinics where patients got treated regardless of income, where doctors were expected to work pro bono, and where most obliged. Segall certainly did. As for his income before the introduction of medicare, Segall is philosophical. “I'd send out bills at the end of the month,” he says. “Those who couldn't pay — it didn't bother me that much.” Segall, who still works 3 days a week in a part of Montreal popular with immigrants and refugees, remembers his own lean years during the Depression when he had to “step out” of medical school at McGill and get a factory job to make ends meet. “I worked as a shipper. Eventually, the boss, the other shipper and the cutter all became my patients.” He also pounded the pavement selling dresses and vacuum cleaners, although he was “not particularly gifted at sales.” Cardiac catheterization was more his line. In 1948 he received a scholarship at the University of Chicago and became one of the first cardiologists to use the technique. At the time, some Canadian research linked heart disease to a diet high in animal proteins and eggs. “Everybody laughed,” says Segall. He would later coauthor a paper on fluctuating blood lipid levels in patients with hypercholesterolemia and coronary artery disease (CMAJ 1960;83:521-4). Recently, Segall made a long-distance phone call a bit too early in the morning. “I apologize from the bottom of my left ventricle,” he deadpanned. Whether it's his early ideas about preventing heart disease with a daily sherry and a joke, or about the dangers of high cholesterol levels, a half-century of practice has clearly given him not only the long view but the last laugh. — Susan Pinker, Montreal

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)0,006
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: aucune
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,184

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,003
Communication savante0,0060,009
Science ouverte0,0010,006
Intégrité de la recherche0,0080,018
Charge utile insuffisante (le modèle a refusé de juger)0,0550,025

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 Opus0,033
Tête enseignante GPT0,232
Écart entre enseignants0,199 · 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
Publié2002
Routes d'admission2
Résumé présentoui

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