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Enregistrement W2536902940 · doi:10.1182/blood.v126.23.5252.5252

Assessing Disease Stability of Patients with Myelodysplastic Syndrome for an Age of Blood Randomized Controlled Trial: A Chart Review

2015· review· en· W2536902940 sur OpenAlexaffabout
Naushin S. Sholapur, Christopher Hillis, Mark Crowther, Brian Leber, Faiza Khokhar, Richard J. Cook, Ronald D. Barr, Nancy M. Heddle

Notice bibliographique

RevueBlood · 2015
Typereview
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensSt. Joseph’s Healthcare HamiltonSt. Joseph's HospitalMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineBlood transfusionRandomized controlled trialHematologyPediatricsEmergency medicineInternal medicineIntensive care medicine

Résumé

récupéré en direct d'OpenAlex

Abstract INTRODUCTION: A randomized crossover design is an efficient way to compare two treatment approaches as patients serve as their own control minimizing between patient variability; however, for the crossover design to be valid the patients disease must be stable during observation period. A crossover design was considered for exploring the age of transfused red cells on quality of life (QoL) in patients with myelodysplastic syndrome (MDS). To determine if this design would be appropriate, a chart review of patients with MDS requiring transfusion was performed. Stable disease was defined by transfusion interval and pre-transfusion hemoglobin. METHODS: Adult patients scheduled for transfusion at two hematology/oncology outpatient clinics (one in an academic hospital center and one at a cancer center) were screened for eligibility. Inclusion criteria included: a diagnosis of MDS; ≥18 years; diagnosed and followed for at least six months. Data were abstracted from electronic health records and charts of eligible patients between the dates of January 1 and June 30, 2013. Information pertaining to hospital admissions, infection, red blood cell (RBC) product utilization, and hematology laboratory test results were captured. Additional information pertaining to the age of RBCs transfused was retrieved from the Transfusion Registry for Utilization, Surveillance, and Tracking database. Data abstraction and entry were 100% verified using source documents. The study was approved by the local research ethics board and informed consent was not required. The primary outcome was proportion of stable patients who received more than 4 transfusions during the 6 months observation period. The criteria for stability were peer reviewed by clinicians who treat MDS patients and included: 1) quartiles 1 and 3 around the median number of days between transfusion episodes was ≤7 days; and, 2) quartiles 1 and 3 around the median pre-RBC transfusion hemoglobin (Hb) count was ≤10g/L. Patient's disease was not considered to be stable if the patient was admitted to hospital for an MDS or co-morbidity related issue within the past 6 months or, if there was severe infections within the past 6 months. Data were analyzed descriptively. Means and standard deviations were reported for continuous variables along with medians and interquartile ranges (IQRs) where appropriate. Proportions were used to describe categorical variables RESULTS: 21/52 (40.4%) of patients screened were eligible for the study (mean age: 79.52 ± 6.03 years; 6 female). Most patients (17/21; 81%) had at least one comorbid illness. Patients experienced a median of 5 transfusion episodes (IQR, 2, 12) over 6 months. The median age of RBCs transfused was 24 days (IQR, 20, 31). 14 patients had at least 4 transfusion episodes during this time and were included in the stability assessment. 2/14 patients had unstable disease: one patient had a median of 11 days between transfusion episodes (IQR, 4.25, 20); another patient had a median pre-transfusion Hb of 91.5 g/L (IQR, 79.75, 97.5) and was considered not stable since quartile 1 exceeded 10g/L. None of the patients had severe infections or were admitted to hospital for MDS or other co-morbid illnesses. Hence 12/14 (85.7%) of patients were considered stable. CONCLUSION: This study introduces a novel approach to assessing clinical stability in transfused patients with MDS. While the criteria for assessing stability were peer reviewed, this approach requires further validation. More than half of patients with MDS in our study (12/21) were considered clinically stable. This approach, once validated, can be used to define stable MDS patients if research using a crossover design is being considered. Disclosures Leber: Novartis Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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)0,045
score de la tête « metaresearch » (Gemma)0,077
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,045
Score d'incertitude au seuil0,240

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0450,077
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0050,004
Bibliométrie0,0040,005
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0020,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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.

Tête enseignante Opus0,070
Tête enseignante GPT0,375
Écart entre enseignants0,305 · 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'étudeObservationnel
Domainenon disponible
GenreSynthèse

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

En bref

Citations0
Publié2015
Routes d'admission2
Résumé présentoui

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