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Record W4405049588 · doi:10.1182/blood-2024-207213

Impact of Adverse Events on Health-Related Quality of Life in Patients with Chronic Myeloid Leukemia (CML) Treated with Tyrosine Kinase Inhibitors (TKIs) - Early Results of the Survey on Humanistic Burden of Intolerance to First or Second TKIs (SHIFT) Study

2024· article· en· W4405049588 on OpenAlexaff
Kelly L. Schoenbeck, Joan Clements, Karen DeMairo, David Wei, Nisha C. Hazra, Cristina Constantinescu, Yan Meng, Dominick Latrémouille-Viau, Kejal Jadhav, Courtney McDermott, Daisy Yang, Andrea Damon, Islam Sadek, Annie Guerin, Kathryn E. Flynn

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsMedicineMyeloid leukemiaAdverse effectQuality of life (healthcare)Tyrosine kinaseTyrosine-kinase inhibitorLeukemiaImatinibOncologyInternal medicineImmunologyCancerReceptor

Abstract

fetched live from OpenAlex

INTRODUCTION: Patients with chronic phase CML (CP-CML) treated with first- (1G) or second-generation (2G) TKIs as their first or second treatment often experience TKI-associated adverse events (AEs) leading to changing medications, treatment cessation, or reduced quality of life (QoL). The SHIFT study aims to provide a better understanding of how AEs impact health-related QoL in patients with CML in US real-world settings. METHODS: The SHIFT study is a cross-sectional web-based survey of patients with CML to collect their perspectives on the humanistic burden of AEs. Eligible participants include adults (≥ 18 years old) receiving a TKI for ≥ 3 months as first or second treatment for CP-CML at the time of the survey. AEs are self-reported using the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). Health-related QoL is measured using the Patient-Reported Outcomes Measurement Information System - Global Health (PROMIS-GH10; T-scores, lower scores are worse) and the Work Productivity and Activity Impairment Specific Health Problem (WPAI:SHP; impairment percentages, higher scores are worse) questionnaires. In addition to current state, responses on patients' “low point” are collected, defined as the time(s) when AEs had the biggest impact on QoL since start of the current TKI. Data collection began June 19, 2024 and is ongoing. RESULTS: As of July 8, 2024, 63 patients participated in the survey, with a median age of 52 years (86% female, 95% White, non-Hispanic). Most were commercially insured (62%; 27% Medicare, 8% Medicaid, 3% other/military) and half were employed (52%; 27% on disability, 15% retired, 6% not employed). Patients were evenly distributed between receiving a first (52%) or second TKI (48%), and half were treated in a community-based setting (51%; 37% in an academic center). The majority had been on their current TKI for ≥ 2 years (84%; 8% 1 to < 2 years, 8% < 1 year), with 25% treated with 1G and 70% with 2G TKIs. In the last 7 days prior to the survey, patients experienced a median of 4.0 AEs (range: 0 - 14) with the most common being fatigue (75%), joint pain (51%), problems with memory (41%), diarrhea (32%), and muscle pain (32%). There were no reported hospitalizations in the last 7 days, suggesting these AEs were of low-grade. Persistent AEs were reported by almost all patients (91%). One quarter (24%) experienced a low point in the last 7 days, with 60% experiencing low point(s) before the last 7 days. Low point(s) were mostly experienced in the first 3 months of treatment (40%), with patients reporting multiple low points throughout their treatment with current TKI (23% > 3 to < 6 months, 36% 6 months to < 1 year, 23% 1 years to < 2 years, 32% ≥ 2 years). The mean ± SD PROMIS-GH10 Global Physical Health (GPH) and Global Mental Health (GMH) T-scores were 43.1 ± 8.3 and 44.9 ± 8.3, respectively, reflecting poorer health than the general population (mean T-score 50). Over one-third reported a fair-to-poor rating for GPH (41.3%) and GMH (33.3%). GPH (mean ± SD 37.6 ± 6.6) and GMH (mean ± SD 38.8 ± 7.2) T-scores were worse in patients experiencing a low point in the last 7 days. Based on WPAI, mean percent activity impairment due to CML was 40.0%. Close to half (43%) reported modifying employment due to CML (i.e., changed from full time to part time or unemployed [21%], took early retirement [11%], stopped working temporarily [6%], increased working time to cover CML treatment costs [5%]). Among those employed, 75% reported some productivity loss due to CML, with a mean work productivity loss (percent overall work impairment) of 32.2%. Presenteeism (percent impairment while working) and absenteeism (percent work time missed) due to CML were reported at a mean of 29.1% and 6.6%, respectively. CONCLUSIONS: Findings of the ongoing SHIFT study demonstrate the humanistic burden of AEs associated with TKIs in patients with CML in the US. While survival of CML patients has improved with TKIs, nearly all participants reported persistent low-grade AEs that negatively impact their QoL, resulting in living with poorer global physical and mental health than the general population. Furthermore, nearly half had to modify their employment, and for those who continue to work, the majority reported impaired work productivity. Treatments with a better tolerability profile have the potential to reduce AEs, helping patients with CML to preserve a good QoL and maintain work productivity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.288
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
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