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Enregistrement W2531019340 · doi:10.1182/blood.v114.22.4350.4350

Preference of Patients and Physicians Concerning Treatment Options for Relapsed Follicular Lymphoma: A Discrete Choice Experiment.

2009· article· en· W2531019340 sur OpenAlexaffabout
Mona Shafey, Douglas A. Stewart, Thuan Do, Sasha Lupichuk

Notice bibliographique

RevueBlood · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensBC Cancer AgencyUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMedicineFollicular lymphomaRadioimmunotherapyChemotherapyAutologous stem-cell transplantationTransplantationLymphomaOncologyTolerabilityInternal medicineAdverse effectImmunology

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 4350 Background Patients with symptomatic relapsed follicular lymphoma, together with their physicians, must choose between a variety of treatment options, including conventional chemotherapy, radioimmunotherapy, and high-dose chemotherapy with subsequent autologous or allogeneic transplantation. These treatments vary with respect to effectiveness and tolerability. The purpose of this study was to elicit preference for the treatment options particular to relapsed follicular lymphoma and the attributes associated with the treatment options amongst patients in Alberta, and hematologists and medical oncologists in Canada who treat lymphoma, using a discrete choice experiment (DCE). Methods Background information and a questionnaire containing the DCE was mailed to 180 patients age 18 to 65 years and 252 hematologists and medical oncologists. The treatment attributes chosen for the DCE included: administration protocol, toxicity, average remission length and cost. For administration protocol and toxicity, there were 4 categorical levels describing the varying scenarios for standard chemotherapy (CT), radio-immunotherapy (RIT), high dose chemotherapy and autologous stem cell transplantation (AUTO), and allogeneic stem cell transplantation (ALLO). For average remission length, there were two numerical levels: 1 year (CT/RIT) and 5 years (AUTO/ALLO). For cost, four numerical levels were chosen to reflect current clinic/hospital expenditure: $5000 (CT), $25,000 (RIT), $50,000 (AUTO) and $150,000 (ALLO). A fractional factorial design was chosen to examine main effects and a fold-over technique was used to create multiple choice questions. In the series of multiple choice questions, respondents were asked to choose between two unlabeled treatment options, described according to the attributes where the attribute levels were different for each option. Descriptive statistics were applied to participant demographic and clinical data. The DCE was analyzed using a random effects logit model. Marginal rates of substitution calculated from regression coefficients provided information about preference for the treatment attributes. A post-estimation technique was used to predict uptake of the four treatment options. Results 81 patients (45%) and 48 physicians (19%) completed the questionnaire. Responding patients had a mean age of 54.7 years and were on average 4.4 years from initial diagnosis. 93% of patients received prior chemotherapy and 24% had received a prior stem cell transplant. 48% of patients had not yet relapsed and 33% were currently symptomatic. Physicians were predominantly hematologists (93%) who have been in practice on average for 12.2 years. 46% of physicians reported being in a practice that includes stem cell transplantation. Preferences of patients and physicians were similar. For all participants, remission length and the lesser toxicity of RIT compared with CT were found to be positive influences on choice (p<0.0001 and p=0.057, respectively). Negative influences on choice included toxicity of both AUTO and ALLO compared with CT (p=0.047 and p<0.0001, respectively), and cost (p<0.0001). Participants required a remission length of 0.6 years to accept the toxicity of AUTO but 3.9 years to accept the toxicity of ALLO. In relation to cost, participants thought it was acceptable for the health care system to pay $340, 000 per each 1 year increase in remission length. Post-estimation technique to evaluate distribution of preference for treatment options revealed that patients were most likely to choose AUTO (69%) and less likely to choose RIT (14%), CT (11%), and ALLO (7%). The distribution for physicians was similar: AUTO (56%), RIT (20%), CT (19%), and ALLO (4%). Conclusions This discrete choice experiment shows that patients with relapsed follicular lymphoma are able to consider the advantages and disadvantages of various treatment options, and appear to be willing to trade off the toxicity associated with autologous transplantation in order to benefit from increased remission length. Disclosures: Shafey: Glaxo-Smith-Kline: Research Funding. Stewart:Glaxo-Smith-Kline: Research Funding. Do:Roche: Honoraria; Sanofi-Aventis: Honoraria, Research Funding.

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)0,012
score de la tête « metaresearch » (Gemma)0,027
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: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,061

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,027
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0000,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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 Opus0,026
Tête enseignante GPT0,277
Écart entre enseignants0,251 · 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
GenreEmpirique

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
Publié2009
Routes d'admission2
Résumé présentoui

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