INFLUENCE OF HIGH PELVIC INCIDENCE ON OPERATIVE DIFFICULTY IN PATIENTS TREATED SURGICALLY FOR DEGENERATIVE LUMBAR SPONDYLOLISTHESIS
Notice bibliographique
Résumé
The objective of this study was to determine if the degree of pelvic incidence (PI) influenced the difficulty of surgery in patients undergoing treatment for degenerative spondylolisthesis. This is a retrospective cohort study of patients enrolled between 2015 - 2021 in the Canadian Spine Outcomes and Research Network (CSORN) multi-centred prospective study on the assessment and management of DLS who underwent decompression or decompression and fusion, and who had baseline radiographic measures. Patients were divided into two groups based on a preoperative PI of >60° or < 6 0°. Baseline demographic, clinical, radiographic, and procedure factors were compared between the groups stratified by procedure type (decompression vs. decompression and fusion). Of the patients that had a decompression alone, 85 had PI 60°. Demographic factors, chief complaint, grade of spondylolisthesis, and preoperative patient-rated outcome measures (PROM) were similar between the two groups. Blood loss was similar in both groups, but patients with a high PI had significantly longer operative times (96 minutes vs. 82 minutes). Of the patients that had a decompression and fusion, 193 had PI 60°. Demographics and preoperative PROMs were similar between the groups except more females were in the high PI group (71% vs 60%). Patients in the high PI group were also more likely to have grade II spondylolisthesis (41% vs. 26%) and were less likely to have minimally invasive surgery (16% vs. 29%). Operating time was similar between groups; however, blood loss was significantly increased in the patients that had a high PI (M = 400 vs. 300 mL). Intraoperative complications and length of stay were not different between groups, regardless of procedure. Overall, this study demonstrates that high PI is associated with increased operative time and blood loss, indicating there may be unique challenges with this population. Technical difficulties may arise due to larger exposures required and challenging angles seen in patients with a high PI. Thus, operative difficulties should be anticipated when treating patients with a PI >60°.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,000 |
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.
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 ».