MétaCan
Menu
Retour à la cohorte
Enregistrement W4206533729 · doi:10.1097/acm.0b013e31826cf08b

My Hands

2012· article· en· W4206533729 sur OpenAlexaffabout
Mikayla Brenneis

Notice bibliographique

RevueAcademic Medicine · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueHistory of Medical Practice
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésMedicineGeneral surgeryStethoscopeSurgery

Résumé

récupéré en direct d'OpenAlex

Don’t touch that! What glove size are you? Watch your hands. My hands are well traveled by now—a year of clerkship puts a lot of experience in your hands. I’ve sutured lacerations on the belligerently inebriated. I’ve held the hands of grannies as they climbed onto the examination table. Many, many babies have gripped my index finger. I’ve palpated lymph nodes, cervixes, and prostates across the province. I know how to hold my stethoscope properly, like an internist. I don’t think I really thought about how much of medicine involves hands until my surgery rotation during clerkship. It seems obvious—tying, suturing, and cutting are clearly all about manual dexterity. They are skills that are taught and practiced, but it is more than that. During one of my days on thoracic surgery, we brought a young man into the operating room whose stomach contents were coming out of his chest tube. My job for the next four hours was to retract his heart for the surgeons. The flexible strength and elasticity of this organ was palpable through the metal retractor I held, and the patient’s life beat through my body. It was an incredible moment. Never had life been so clear to me as when the surgeon took a break and put my hand on our patient’s pericardium. I felt my pulse and his heart. Our rhythms were not in sync but we were the same—we were both alive. It was a grueling surgery, but it was amazing. The surgeon fixed the esophagus and stomach, and the patient lived. During one of my nights on general surgery, we brought another young man into the operating room. He had been absolutely fine three weeks ago, when he suddenly couldn’t keep anything down. The small bowel obstruction we saw on X-ray became something even worse on CT—cancer, likely pancreatic. No warning of painless jaundice. No weight loss. Maybe some night sweats. My job for the next four hours was to retract part of the intestine while the surgeon did a roux-en-Y gastric bypass to buy this gentleman some time and some quality of life. Partway through, the surgeon placed my hand on our patient’s intestine. It was hard and lumpy. The texture was all wrong. He let me run my hands along the length of our patient’s bowel with him—parts of it felt grainy and rough. We spent most of the operation in silence. It was cold and late. And we weren’t going to save him—help him but not save him. In surgery, my hands held life and death. I’ve held the strange weight of a leg as you hand it over to the nurse during an amputation. I’ve felt the unbelievable stretch of a skin graft as the surgeon staples it over a massive burn and the rush of air around my index finger as I clear the opening for a chest tube. I’ve understood the sorrow of the abnormal strength in a young trauma patient’s grip who has just earned the label of C6 quad. I’ve given my pen to the attending to sign a death certificate. My hands have changed and so have I along with them. I know who I am as a person, and I’m finding out who I might be as a physician, with a growing confidence in my abilities. My hands are the entryway, from the very first handshake with a patient, and they are one of the tools I am learning to use to connect with and care for my patients. My hands are a part of me and of my presence in medicine. Scrub in. Can you feel that? Hold this for me. Acknowledgments: A sincere thank you to Dr. Jonathan White of the University of Alberta Faculty of Medicine and Dentistry for encouraging the practice of reflection during the surgical clerkship rotation.

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)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,489
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,076
Tête enseignante GPT0,389
Écart entre enseignants0,313 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
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
Publié2012
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueAcademic MedicineMême sujetHistory of Medical PracticeTravaux en français237 207