Trajectory of Symptoms after Autologous Stem Cell Transplant Among Patients with Multiple Myeloma: A Population-Based Study
Notice bibliographique
Résumé
Introduction Autologous stem cell transplant (ASCT) remains the standard of care for eligible patients with multiple myeloma (MM). There is a paucity of data with regards to the symptom burden experienced by patients undergoing ASCT. In 2007, routine prospective collection of patient-reported outcome (PROs), Edmonton Symptoms Assessment System (ESAS), was initiated in all outpatient cancer clinics in Ontario, Canada. The ESAS is a validated and reliable tool which assess the severity across nine common symptoms: well-being, pain, tiredness, anxiety, depression, drowsiness, lack of appetite, nausea and shortness of breath. This administrative data provides a unique opportunity to the understand the symptom burden experienced by MM patients undergoing ASCT in the real world at a population level. Methods We conducted a retrospective population-based study using administrative data from the Institute of Clinical Evaluative Sciences (ICES), which maintains a central database of health records for all patients in the publicly funded health care system for the province of Ontario, Canada. All patients with newly diagnosed MM using the ICD-O-3 code 9732 (Multiple Myeloma), who received an ASCT within one year of diagnosis, between Jan 2007-Dec 2018, were identified. The main outcome of interest was an ESAS score of ≥4 each month, which has been shown to represent clinically significant moderate to severe symptom burden. Results A total of 2925 patients with myeloma were identified between 2007-2018. 158 patients who underwent a tandem ASCT and 956 patients who did not have an ESAS score recorded within a year following ASCT were excluded. Among 1969 (67.3%) evaluable patients, there were 12,820 unique ESAS assessments recorded during the first year which were used to form the cohort. The median number of ESAS surveys filled out by each patient was 5 (IQR 2-10) and the median time from transplant to first ESAS score recorded was 34 days (IQR 18-84). Baseline characteristics for the patients are shown in Table 1. The trajectory of symptoms following ASCT is shown in Figure 1. Tiredness, impaired well-being and lack of appetite were the three most common symptoms after ASCT and improved over the year. Psychosocial symptoms including anxiety and depression were present in approximately 20% of the cohort and only marginally improved during the year following ASCT. Additional analyses to assess the impact of baseline variables on high symptom burden is currently in progress. Conclusion This study represents the largest population-based cohort study done to date evaluating symptoms burden in patients with MM undergoing ASCT. Our results demonstrate that there is considerable symptoms burden during the first year following ASCT among MM patients. While physical symptoms improved over time, psychosocial symptoms remained persistent with only marginal improvement. Future studies aimed with tailored interventions are needed in order to address symptoms burden for patient groups at highest risk. Disclosures Mian: Amgen: Consultancy, Honoraria; Sanofi: Consultancy; Celgene: Consultancy; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Pond:Takeda: Honoraria; Astra Zeneca: Consultancy; Roche Canada: Other. Wildes:Seattle Genetics: Consultancy; Janssen: Research Funding; Carevive Systems: Consultancy.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».