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Enregistrement W2140288225 · doi:10.1200/jco.2014.55.6977

How Long to Treat Acute Venous Thrombosis in Cancer: Can Treatment Be Personalized?

2014· letter· en· W2140288225 sur OpenAlexaff
Punam Rana, Mark N. Levine

Notice bibliographique

RevueJournal of Clinical Oncology · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueVenous Thromboembolism Diagnosis and Management
Établissements canadiensJuravinski Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineThrombosisCancerProspective cohort studyPulmonary embolismDeep veinLow molecular weight heparinVenous thrombosisSurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

Venous thromboembolism (VTE) is a common occurrence in patients with malignant disease. Standard treatment for acute deep vein thrombosis (DVT) and/or pulmonary embolism (PE) is usually initial subcutaneous weight-adjusted low molecular weight heparin (LMWH), which is continued for approximately 6 months. The treatment of acute DVT and/or PE is to prevent recurrent thromboembolism. In one prospective study, the cumulative incidence of recurrent VTE at 12 months was approximately 20% in patients with cancer with acute VTE compared with 7% in noncancer patients with acute VTE. Conversely, the risk of anticoagulant-associated bleeding in patients with cancer was increased 2-fold compared with that for noncancer patients. The duration of anticoagulant therapy in patients with cancer is an important unanswered question. Clinical practice guidelines recommend continuation for as long as the cancer is active (eg, patient with symptomatic metastatic disease receiving chemotherapy and prolonged immobility). However, in truth, these guidelines are based on extrapolations from patients without cancer and clinical experience. The DACUS (Duration of Anticoagulation Based on Ultrasonography) investigators are to be congratulated for conducting a prospective randomized trial to address the question of the optimal duration of anticoagulant therapy in patients with malignant disease. They used a test, residual vein thrombosis (RVT), measured by compression ultrasound to guide the duration of therapy. The presence of RVT reflects venous stasis and vessel wall damage, which are two important components in the pathogenesis of venous thrombosis. Previous prospective studies in patients with acute VTE but without cancer demonstrated a relationship between RVT and recurrent VTE. In the DACUS trial, 347 patients with active cancer and DVT were treated with LMWH for 6 months and then underwent compression ultrasound for RVT. Subjects with no evidence of RVT stopped their LMWH and were followed for 12 months after discontinuation of LMWH. Seventy percent of the cohort had RVT and were randomly assigned to receive 6 more months of LMWH or no further treatment. In the group with no RVT who stopped treatment at 6 months, the rate of recurrent VTE was 2.8%. In the RVT-positive group, the rate of recurrent VTE from the time of random assignment was 18% in patients who received longer LMWH treatment (18 months of followup) compared with 22% in those who stopped treatment (12 months of follow-up). Although these results appear to favor longer term treatment, the difference was not statistically significant. When patients with no RVT at 6 months who did not receive extended treatment are compared with those with presence of RVT at 6 months who did not receive extended treatment, there was a statistically significant different in recurrence. There are several points related to the study design that should be considered. The primary outcome measure as defined in the study protocol was recurrent VTE after discontinuation of LMWH. In the initial submission to Journal of Clinical Oncology (JCO), the VTE and bleeding events during the first 6 months after random assignment were not counted for the extended LMWH treatment group. In a randomized trial, events are counted from the point of random assignment. As this is JCO policy and to avoid confusion for the reader, the authors were asked by the Editors to count events from the time of random assignment. The authors do report in Figure 3 the number of VTE events (four) and major bleeds (two) during the 6 months after random assignment. Table 3 takes these events into consideration. We can only speculate why the authors defined the follow-up period as starting from the point of stopping the LMWH. Thrombosis physicians are very interested in the period after stopping anticoagulants in patients with idiopathic VTE where rebound thrombosis is a major issue. Although we agree that this is of interest, it may not be germane to patients with cancer and VTE because of their shortened life span. The design of this study is similar to one that the McMaster group did many years ago in noncancer patients where impedance plethysmography (IPG) was used to guide the duration of anticoagulant therapy in patients presenting with idiopathic proximal DVT. IPG, similar to RVT, was used as a marker of poor venous flow. Similar to the current study, a positive IPG was associated with an increased risk of recurrence. RVT can be considered in a similar way to how oncologists think about a biomarker test to guide treatment in patients with breast cancer. A prognostic test describes the clinical course of the disease, that is, who will develop recurrent cancer and who will not, whereas a predictive test determines whether the treatment will work. In patients with estrogen receptor–positive breast cancer who receive endocrine treatment and are being considered for chemotherapy, tests such as Oncotype Dx that define a low risk group for recurrence are used to spare patients chemotherapy. In the DACUS study, the RVT was prognostic but not predictive. The absence of RVT in patients who received 6 months of LMWH was associated with only a 2.9% risk of JOURNAL OF CLINICAL ONCOLOGY E D I T O R I A L VOLUME 32 NUMBER 32 NOVEMBER 1

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,015
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,005
Science ouverte0,0010,001
Intégrité de la recherche0,0040,009
Charge utile insuffisante (le modèle a refusé de juger)0,0080,004

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 Opus0,198
Tête enseignante GPT0,477
Écart entre enseignants0,279 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2014
Routes d'admission1
Résumé présentoui

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