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Enregistrement W2768676673 · doi:10.1182/blood.v128.22.4267.4267

The Impact of Myeloproliferative Neoplasms (MPNs) on Patients' Quality of Life and Productivity: Results from the International MPN Landmark Survey

2016· article· en· W2768676673 sur OpenAlexaffabout
Claire Harrison, Steffen Koschmieder, Lynda Foltz, Paola Guglielmelli, Tina Flindt, Michael Koehler, Jonathan Mathias, Norio Komatsu, Robert N. Boothroyd, Amber Spierer, Julian Perez Ronco, Gavin Taylor‐Stokes, John Waller, Ruben A. Mesa

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineQuality of life (healthcare)Polycythemia veraEssential thrombocythemiaMyelofibrosisBristol-MyersAbsenteeismDemographyProductivityMyeloproliferative neoplasmInternal medicineBone marrowPsychology

Résumé

récupéré en direct d'OpenAlex

Abstract Background Myelofibrosis (MF), polycythemia vera (PV), and essential thrombocythemia (ET) are myeloproliferative neoplasms (MPNs) whose associated disease burden includes a range of debilitating symptoms, thrombosis, hemorrhage, and shortened survival. To enhance patient care, it is important to understand the impact of MPNs in patients' lives; however, little is known regarding how these conditions affect patients' quality of life (QOL), activities of daily living, productivity, and emotional well-being. The US LANDMARK survey (Mesa et al. BMC Cancer 2016) captured data for US patients. Here, we present an interim analysis of results of another MPN LANDMARK survey conducted in the rest of the world. Methodology MPN LANDMARK survey is a cross-sectional survey of MPN patients across 6 countries (Australia, Canada, Germany, Japan, Italy, and UK). Patients completed an online questionnaire to measure MPN related symptoms experienced over the past 12 months and the impact of their condition on their QOL and ability to work. Additional questions related to employment productivity and activity impairment (including absenteeism and loss of productivity over the past 7 days). Patients included in this interim analysis had completed the survey by July 18, 2016, with enrollment continuing in all countries. Results Patients: Overall, 437 patients had completed the survey (98 MF, 121 PV, 218 ET). For MF and PV, the male to female gender split was relatively even (54% male for each), whereas an expected greater proportion of ET patients was female (70%). Patients with MF were significantly older than PV and ET patients (mean ages, 62, 59, and 55 years, respectively) and more had been diagnosed within 2 years of experiencing their symptoms (83% MF, 67% PV, 71% ET). MPN Symptoms (Table): Most patients (94%) experienced MPN-related symptoms in the past 12 months. The most commonly reported symptom among all subtypes was fatigue (69% MF, 62% PV, 73% ET), incidence of other common symptoms varied depending on disease subtype (MF: shortness of breath [38%], bruising [36%], night sweats [35%], early satiety [33%]; PV: night sweats [36%], trouble concentrating [36%], trouble sleeping [34%], dizziness [34%]; ET: trouble sleeping [37%], dizziness [37%], bruising [35%], night sweats [35%]). When asked which symptom patients would most like to have resolved, most patients preferred to have feeling of fatigue/tiredness improved across all disease subtypes (31% MF, 30% PV, 33% ET). Patients experienced an average of 6.4 symptoms at diagnosis but this progressed to an average of 7.6 symptoms since diagnosis after a median time of 6 years. QOL: A majority of patients indicated that they experienced a reduction in QOL due to MPN symptoms (87% MF, 71% PV, 73% ET) with 33% and 26% of MF and ET patients expressing that their condition has caused emotional hardship, and one-third of patients with PV reporting that they have felt worried or anxious about their disease (39%). MPN Impact on Activity/Employment: Patients reported a high impact on their ability to work, 12% reported voluntarily leaving their job, 10% had taken early retirement, 10% had moved onto disability living allowance, 8% moved to a lower paid job, and 2% experienced involuntary loss of work (Table). Of the patients who were in full-time or part-time employment at the time of the survey (MF [n=17]), PV [n=41], ET [n=98]), approximately, 40% had been absent from work within the past 7 days; this was the highest in MF patients (41% MF, 38% PV, 33% ET). On an average, over the past 7 days, MF patients had missed 3.1 hours from work, PV patients 2.3 hours and ET patients 2 hours. Across all subgroups, a substantial proportion of patients reported impairment in work (mean: 34% MF, 33% PV, 31% ET) and overall activity (mean: 46% MF, 42% PV, 39% ET). Conclusions This interim analysis from the MPN LANDMARK survey indicates that MPN patients experience a high burden of disease, including a high prevalence of symptoms, an increase in the number of symptoms from diagnosis and reduction of their emotional well-being, QOL, and ability to work. These results are consistent with those from the previous US LANDMARK survey with the addition of novel data on how MPNs impact work. When treating MPN patients, care should be taken in trying to manage a patient's disease burden, so as to minimize the impact on a patient's daily life. Further results from additional survey responses will be presented at the congress. Disclosures Harrison: Baxaltra: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Incyte Corporation: Honoraria, Speakers Bureau; Shire: Honoraria, Speakers Bureau. Koschmieder:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Foltz:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Koehler:Novartis Inc. (Germany): Consultancy, Other: Training. Komatsu:Shire: Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Boothroyd:Novartis: Employment, Equity Ownership. Spierer:Novartis: Employment. Ronco:Novartis: Employment. Taylor-Stokes:Adelphi Real World: Employment. Waller:Adelphi Real World: Employment. Mesa:Celgene: Research Funding; Galena: Consultancy; Novartis: Consultancy; CTI: Research Funding; Ariad: Consultancy; Incyte: Research Funding; Gilead: Research Funding; Promedior: 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)0,002
score de la tête « metaresearch » (Gemma)0,005
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

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

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.

Tête enseignante Opus0,034
Tête enseignante GPT0,305
Écart entre enseignants0,270 · 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
Publié2016
Routes d'admission2
Résumé présentoui

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