Risk Stratification in Acute Promyelocytic Leukemia Based on Elevated White Cell Count and Reduced Platelet Count Does Not Identify Subsequent Relapses: A Retrospective Review of 60 Patients.
Notice bibliographique
Résumé
Abstract Acute promyelocytic leukemia (APL) has become one of the more readily treatable subtypes of acute myeloid leukemia on the basis of its particular sensitivity to anthracyclines and the introduction of the differentiating agent all-trans retinoic acid (ATRA). Unfortunately some patients will ultimately relapse after achievement of complete remission. A PETHEMA and GIMEMA (PETH/GIM) cooperative group joint study sought to identify risk factors associated with relapse and developed a predictive model based on white cell count (WCC) and platelet count (Plt) at diagnosis. This model for relapse free survival was capable of segregating patients into low risk (WCC < 10 x 109/L / Plt > 40 x 109/L), intermediate risk (WCC < 10 x 109/L / Plt < 40 x 109/L), and high risk (WCC > 10 x 109/L). A subsequent follow up study demonstrated improved outcomes for intermediate and high risk group patients treated with an anthracycline and ATRA based risk adapted strategy. We reviewed 60 cases of adult de novo APL treated at Vancouver General Hospital from August 1995 to December 2003. Thirty five females (58%) and 25 males (42%) were treated with a standard induction and consolidation protocol consisting of 3 cycles of Daunorubicin (60 mg/m2 OD for 3 days), Cytosine arabinoside (100 mg/m2 BID for 7 days), and ATRA (45 mg/m2/day until complete remission or a maximum of 60 days). In 2000 maintenance therapy was introduced and ATRA and/or varying doses of Methotrexate and 6-Mercaptopurine were then instituted for up to 2 years duration. At the completion of induction chemotherapy complete morphological and cytogenetic remission was achieved in 55/60 patients (92%) with 4 induction failures and only 1 death during induction treatment. Subsequently during and after consolidation and maintenance therapy at a median follow up of 34 months there were a total of 10 episodes of relapse (18%) in these 55 patients. When the 55 patients in complete remission were stratified at diagnosis by the PETH/GIM risk group there were 18 low risk patients (33%), 26 intermediate risk patients (47%), and 11 high risk patients (20%). The number of relapses was 6 in the low risk group (33%), 4 in the intermediate risk group (15%) and no relapses were identified in the high risk group. In our experience the predictive model for relapse free survival developed by the PETH/GIM cooperative group does not identify those at most likelihood for subsequent relapse after achieving an initial complete remission. The greatest number of relapse was seen in the low risk group with no relapses in the high risk group. These variations may be explained in part by the different chemotherapy treatment protocols with variable maintenance therapy. Future investigation will focus on the prognostic role of immunophenotype, additional cytogenetic abnormalities and molecular isoforms in determining outcome in APL.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,001 | 0,001 |
| 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 ».