Systematic Review to Identify Validated Manual Warfarin Maintenance Dosing Tools.
Notice bibliographique
Résumé
Abstract Abstract 3800 Rationale: Vitamin K antagonists, of which warfarin is the most widely used in North America, are some of the most difficult medications to control and require careful monitoring to keep the international normalized ratio (INR) in the therapeutic range. Anticoagulation clinics and computer-assisted decision support systems have been associated with an improved time patients spend in the therapeutic INR range, but these systems can be expensive. Also, patient self-management delivers the best INR control, but is only useful for patients who are capable to perform self testing and management. Simple, inexpensive and easy to use dosing algorithms have the potential to overcome some of these logistical barriers and offer a tool that could be used without the infrastructure of a formal anticoagulation clinic. We performed a systematic review to identify validated manual warfarin maintenance dosing algorithms that do not require computer support. Methods: MEDLINE was searched, without language restriction, by two independent reviewers for observational and experimental reports of warfarin dosing algorithms, nomograms or formulas. Studies that reported efficacy of anticoagulation clinics, patient self management and computer assisted warfarin dosing were reviewed for references for an underlying dosing process. Inclusion criteria for studies for this review were: 1) the tool needed to provide advice on maintenance dose adjustment and next INR testing, 2) the manual dosing tool needed to be compared to a control group, 3) time in therapeutic range or patient outcomes were reported, 4) the effect of the dosing method could be separated from other interventional aspects of warfarin management. Inter-rater agreement for inclusion of candidate studies was measured with the kappa statistic and disagreement was resolved by consensus. Results: Twenty-five studies were identified and 23 either did not report a manually useful tool (computer-based algorithm or complex formula), did not have a control comparator, did not report the time in therapeutic range or patient outcomes, or the effect of the tool could not be separated from other interventional aspects of anticoagulation clinics, computer systems or self-management. Only 2 studies fulfilled all of the inclusion criteria and there was 100% agreement between the two independent reviewers for their selection. Both studies were single center studies and used practice performance before implementation of the dosing tool as the comparator. One study (n=72) showed an improvement in the proportion of INRs in the therapeutic range from 32% to 46% (p < 0.05). The other study (n=1961) showed an improvement in the time in therapeutic range in patients with a target INR range of 2–3 from 67% to 73% (p < 0.001) and in patients with a range of 2.5–3.5, form 50% to 64% (p < 0.001). Data of the two studies were not pooled due to differences in the dosing tool, quality level of care and calculation of the primary outcome, and the negligible effect of the smaller study. Conclusion: We identified only 2 manually useful VKA maintenance dosing tools that have been compared with a control group. Both studies showed an improvement in the quality of INR control with a simple dosing algorithm, but the studies were limited by their pre/post interventional design. Our results stress the need for a randomized trial to validate the usefulness of a manual dosing algorithm which could yield a simple and inexpensive evidence-based method for many physicians managing patients taking a vitamin K antagonist. Disclosures: No relevant conflicts of interest to declare.
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 | 0,020 | 0,084 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,014 | 0,009 |
| Bibliométrie | 0,018 | 0,018 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 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 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 ».