The Ultra-Low-Molecular-Weight Heparin Semuloparin for Prevention of Venous Thromboembolism In Patients Undergoing Major Abdominal Surgery
Notice bibliographique
Résumé
Abstract Abstract 188 Background/Aim: Venous thromboembolism (VTE) remains a common and potentially fatal complication of major abdominal surgery. Semuloparin is a novel ultra-low-molecular-weight heparin (ULMWH) with high anti-factor Xa and residual anti-factor IIa activities currently under development for prevention of VTE. We have conducted a study to assess the efficacy and safety of semuloparin compared to enoxaparin for the prevention of VTE in patients undergoing major abdominal surgery. Material and methods: SAVE-ABDO is a multinational, randomized, double-blind phase III study of patients undergoing major abdominal or pelvic operation. Patients were randomized to receive either once-daily enoxaparin 40 mg commenced pre-operatively or semuloparin 20 mg commenced post-operatively, both agents continued for 7–10 days. Patients were eligible for inclusion if they were aged > 60 years, had undergone major surgery in the peritoneal or the retroperitoneal space, and/or pelvis under general anesthesia lasting more than 45 minutes. For patients under the age of 60 years old, an additional risk factor (history of VTE, body mass index ≥ 30 kg/m2, chronic heart failure, chronic respiratory failure, inflammatory bowel disease, or operation for malignancy) was required. For patients with severe renal impairment, defined as a creatinine clearance < 30 mL/min, the dose of semuloparin was reduced to 10 mg once-daily, and that of enoxaparin to 20 mg once-daily. Randomization was stratified by indication for operation (cancer versus non-cancer), renal function (creatinine clearance ≥ or < 30 mL/min), and geographic region. Mandatory bilateral venography was performed between day 7 and 11. The primary efficacy endpoint was the composite of any deep vein thrombosis (DVT), non-fatal pulmonary embolism (PE), and all-cause mortality. Secondary efficacy endpoints included the composite of any VTE and VTE-related mortality, and the composite of any proximal DVT, symptomatic distal DVT, non-fatal pulmonary embolism, and all-cause mortality. The main safety endpoint was major bleeding, with main secondary safety endpoints of clinically-relevant non-major (CRNM) bleeding, and the composite of major and CRNM bleeding. All study endpoints were independently and blinded adjudicated. The non-inferiority will be reached if the upper limit of the confidence interval of the odds ratio for the primary analysis is < 1.25. If the non-inferiority is demonstrated the superiority will be tested using a stratified exact test on the primary efficacy endpoint. Results: 4414 patients were randomized between May 2008 and June 2010. The mean age was 61 years (±13 years) and 57% of subjects were male. 81% of patients underwent an operation for malignant disease. The majority of patients underwent gastro-intestinal procedures, with 59% having colon or colo-rectal surgery, and 20% gastric surgery. Final data will be available for presentation at the meeting. Disclosures: Kakkar: Bayer Healthcare: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; sanofi-aventis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Boehringer-Ingelheim: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Eisai: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Agnelli:sanofi-aventis: Research Funding. Fisher:sanofi-aventis: Honoraria, Research Funding; Bayer Healthcare: Honoraria, Research Funding; Takeda Pharmaceuticals: Honoraria, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Boehringer-Ingelheim: Membership on an entity's Board of Directors or advisory committees. George:sanofi-aventis: Honoraria. Mouret:Bayer Healthcare: Consultancy, Honoraria; sanofi-aventis: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria. Lassen:Astellas Pharma Europe: Consultancy; Bayer Healthcare: Consultancy; Bristol-Myers Squibb: Consultancy; GlaxoSmithKline: Consultancy; Merck Serono: Consultancy; Pfizer: Consultancy; sanofi-aventis: Consultancy. Mismetti:sanofi-aventis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer Healthcare: Honoraria; Boehringer-Ingelheim: Honoraria; Pfizer: Honoraria; Bristol-Myers Squibb: Honoraria. Murphy:sanofi-aventis: Employment. Turpie:Astellas Pharma Europe: Consultancy; Bayer Healthcare: Consultancy; Portola Pharma: Consultancy; sanofi-aventis: Consultancy.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| 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 | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».