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Enregistrement W4310120207 · doi:10.1182/blood-2022-156411

Treatment Patterns and Outcomes in Lower-Risk, Non-Del(5q) Myelodysplastic Syndromes: Findings from a Global Real-World Medical Record Review Study

2022· article· en· W4310120207 sur OpenAlexaboutno aff
María Díez‐Campelo, Aylin Yücel, RK Goyal, Rohan Parikh, Elizabeth Esterberg, Maria Jimenez, Martina Sluga-O'Callaghan, Dimana Miteva, Hong Xiao, Ulrich Germing

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMyelodysplastic syndromesMedical recordAnemiaInternational Prognostic Scoring SystemHematologistInternal medicinePediatricsDiseaseBone marrow

Résumé

récupéré en direct d'OpenAlex

Background: Myelodysplastic syndromes (MDS) are a group of clonal hematopoietic stem cell malignancies defined by ineffective hematopoiesis and peripheral blood cytopenias. Patients often present with anemia and frequently require red blood cell transfusions (RBCTs), which may lead them to become transfusion-dependent (TD). This results in poor quality of life and reduced survival. In patients with non-del(5q) lower-risk (LR)-MDS, the standard of care includes erythropoiesis-stimulating agents (ESAs) ± granulocyte colony-stimulating factor as first-line (1L) therapy; however, although clinical trials have demonstrated efficacy, there is little evidence from real-world settings. This study aimed to assess real-world data to investigate treatment patterns and prevailing hematologic outcomes in patients with non-del(5q) LR-MDS. Methods: In this retrospective medical record review, eligible patients ≥ 18 years of age diagnosed with non-del(5q) LR-MDS between July 1, 2013 and September 30, 2018 were identified by participating hematologist-oncologists in the US, Canada (CAN), UK, and EU (France, Germany, Spain). Demographics, clinical characteristics, treatment patterns, and hematologic outcomes data were abstracted (June-November 2021) and reported descriptively. Aggregated analyses were performed using pooled US/CAN and UK/EU data sets for the overall cohort and for patient subgroups treated with clinician-defined 1L and second-line (2L) ESA-containing regimens. Results: Medical record data were abstracted for 119 patients with non-del(5q) LR-MDS in US/CAN (median age, 61.5 years; 71.4% male) and 245 patients in UK/EU (median age, 67.3 years; 71.4% male). Median follow-up duration from MDS diagnosis was 50.5 months (US/CAN) and 67.8 months (UK/EU). At initial diagnosis, 50.4% (US/CAN) and 53.5% (UK/EU) of patients had Low-risk MDS (per Revised International Prognostic Scoring System). Of the 71 patients in US/CAN and 123 patients in UK/EU who were tested successfully for the SF3B1 mutation, 16.9% (US/CAN) and 15.5% (UK/EU) were positive. Most of the patients initiated 1L therapy (US/CAN: 109 [91.6%]; UK/EU: 225 [91.8%]) and more than one-third initiated a 2L therapy (US/CAN: 45 [37.8%]; UK/EU: 89 [36.3%]). In 1L, 2.8% patients in US/CAN and 2.2% in UK/EU received treatment with lenalidomide. Most patients were treated with ESA-containing regimens in 1L, with a median duration of therapy of ≥ 2 years (US/CAN: 97 [89.0%], of which 86.6% was ESA monotherapy; UK/EU: 203 [90.2%], of which 85.7% was ESA monotherapy). Treatment characteristics and hematologic outcomes for patients treated with ESAs are presented in the Table. Among patients who were TD before 1L ESA treatment (36 [37.1%] US/CAN; 104 [51.2%] UK/EU), a small proportion (2.8% US/CAN; 14.4% UK/EU) became transfusion independent (TI) during 1L; RBCT reduction threshold (≥ 50%) was met by 41.7% in US/CAN (median duration, 23 months) and 52.9% in UK/EU (median duration, 13 months). Among patients treated with ESA-containing regimens in 2L (12 [26.7%] US/CAN; 26 [29.2%] UK/EU), most had been treated with ESA in 1L (US/CAN: 10 [83.3%]; UK/EU: 22 [84.6%]). The most frequently reported reasons for reinitiating treatment with ESAs in 2L were overall health status (54.6% US/CAN; 40.9% UK/EU), treatment efficacy (45.5% US/CAN; 63.6% UK/EU), and disease characteristics (36.4% US/CAN; 45.5% UK/EU). In the subgroup of patients who reinitiated ESA in 2L, the most frequently reported reasons for discontinuation of 1L ESA were patient decision (45.5% US/CAN; 22.7% UK/EU), completion of planned course of therapy (45.5% US/CAN; 18.2% UK/EU), and progressive disease (36.4% US/CAN; 68.2% UK/EU). Conclusions: In this real-world study, the most frequently used treatments for the management of anemia in patients with non-del(5q) LR-MDS were ESA-containing regimens. A considerable proportion of patients were TD before initiating 1L ESA therapy. For those who were re-treated with ESAs in 2L, the most common reasons for treatment reinitiation were health status, disease characteristics, and reported treatment efficacy, although only a small fraction of patients who were TD at 1L ESA initiation became TI. These findings highlight an unmet need in anemia management among patients with non-del(5q) LR-MDS, and a requirement for new and more effective treatment options. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0,007
score de la tête « metaresearch » (Gemma)0,033
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 enseignants0,010
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,033
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0100,024
Études des sciences et des technologies0,0000,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
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 Opus0,021
Tête enseignante GPT0,326
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
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
Publié2022
Routes d'admission1
Résumé présentoui

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