Notice bibliographique
Résumé
History A 55-year-old man with a history of chronic pancreatitis secondary to chronic alcohol abuse presented to the hospital with acute abdominal pain, generalized weakness, weight loss, and pyrexia. A clinical examination revealed he was tender to touch in the upper abdomen. Laboratory tests revealed a serum alkaline phosphatase level of 370 U/L (6.1 µkat/L) (normal range, 30–130 U/L [0.5–2.2 µkat/L]), a lipase level of 172 U/L (2.9 µkat/L) (normal range, 0–60 U/L [0–1.0 µkat/L]), a C-reactive protein level of 159 mg/L (1514 nmol/L) (normal value, <8.0 mg/L [76.2 nmol/L]), and a white cell count of 7 × 109/L (normal range, [4–11] × 109/L). During the present admission, the patient underwent urgent CT for his acute symptoms. His relevant medical history included a hospital admission 2 months earlier for abdominal discomfort. Given his history of chronic pancreatitis, baseline abdominal MRI was performed to determine the cause of his symptoms and to assess the pancreas (Figs 1–3). Figure 1a:(a, b) Images from axial fat-suppressed T2-weighted MRI (repetition time msec/echo time msec, 1000/87; section thickness, 6 mm) of the upper abdomen obtained 2 months prior to admission. (c, d) Images from axial fat-suppressed T1-weighted MRI (3.69/1.62; section thickness, 4 mm) of the upper abdomen acquired 60 seconds after intravenous administration of gadopentetate dimeglumine (0.1 mL per kilogram of body weight; Magnevist; Bayer Healthcare, East Mississauga, Ontario) during the current admission. Figure 1b:(a, b) Images from axial fat-suppressed T2-weighted MRI (repetition time msec/echo time msec, 1000/87; section thickness, 6 mm) of the upper abdomen obtained 2 months prior to admission. (c, d) Images from axial fat-suppressed T1-weighted MRI (3.69/1.62; section thickness, 4 mm) of the upper abdomen acquired 60 seconds after intravenous administration of gadopentetate dimeglumine (0.1 mL per kilogram of body weight; Magnevist; Bayer Healthcare, East Mississauga, Ontario) during the current admission. Figure 1c:(a, b) Images from axial fat-suppressed T2-weighted MRI (repetition time msec/echo time msec, 1000/87; section thickness, 6 mm) of the upper abdomen obtained 2 months prior to admission. (c, d) Images from axial fat-suppressed T1-weighted MRI (3.69/1.62; section thickness, 4 mm) of the upper abdomen acquired 60 seconds after intravenous administration of gadopentetate dimeglumine (0.1 mL per kilogram of body weight; Magnevist; Bayer Healthcare, East Mississauga, Ontario) during the current admission. Figure 1d:(a, b) Images from axial fat-suppressed T2-weighted MRI (repetition time msec/echo time msec, 1000/87; section thickness, 6 mm) of the upper abdomen obtained 2 months prior to admission. (c, d) Images from axial fat-suppressed T1-weighted MRI (3.69/1.62; section thickness, 4 mm) of the upper abdomen acquired 60 seconds after intravenous administration of gadopentetate dimeglumine (0.1 mL per kilogram of body weight; Magnevist; Bayer Healthcare, East Mississauga, Ontario) during the current admission. Figure 2: Coronal T2-weighted MRI (repetition time msec/echo time msec, 1000/89; section thickness, 4 mm) of the upper abdomen obtained 2 months prior to admission. Figure 3: Coronal CT image of the abdomen acquired 60 seconds after administration of intravenous contrast material (100 mL of iohexol, Omnipaque 350; GE Healthcare, Princeton, NJ). This CT examination was performed during the current admission.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».