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Record W4417004801 · doi:10.1182/blood-2025-7294

Feasibility of the edmonton symptom assessment system (ESAS) score as patient-reported outcomes (PROs) assessment in chronic myeloid leukemia patients receiving tyrosine kinase inhibitor therapy: A pilot Study

2025· article· en· W4417004801 on OpenAlexaffabout
María Agustina Perusini, Noora Obaidallah, Yael Morgenstern, Flavia Patino, Dennis Kim

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsDiscontinuationMyeloid leukemiaContext (archaeology)Clinical trialCancerMedical recordPalliative careTyrosine-kinase inhibitor

Abstract

fetched live from OpenAlex

Abstract Introduction A substantial proportion of chronic myeloid leukemia (CML) patients experience tyrosine kinase inhibitor (TKI)-related toxicities. Despite their prevalence, it remains challenging to capture patient-reported outcomes (PROs) during routine clinic visits and monitoring them longitudinally due to limited time, resources, and inconvenience to the patients. Since 2022, Princess Margaret Cancer Centre has implemented the EPIC electronic medical record (EMR) system, used by ~80% of hospitals in North America. Through EPIC, all cancer patients receive an automated survey 24 hours before their appointment, prompting them to complete the Edmonton Symptom Assessment System (ESAS). ESAS is a validated self-report tool that quantifies symptom burden on a 0-10 scale across multiple domains, including fatigue, anxiety, pain, drowsiness, nausea, lack of appetite, depression, shortness of breath, and overall well-being. While ESAS is widely used in oncology and palliative care, its application in CML patients receiving TKI therapy remains unexplored, particularly for identifying early signs of intolerance and guiding clinical decision-making. This study aimed to evaluate the feasibility of using EMR-integrated ESAS scores to monitor symptom burden in CML patients, particularly in the context of TKI discontinuation due to intolerance. Patients and Methods This quality assurance project was approved and conducted at Princess Margaret Cancer Centre. From August 2022 to July 2025, our EMR system has captured over 1672 results of ESAS assessments in 502 patients (average 3.33 surveys per patient; 69.7 assessments per month). We selected 60 CML patients who completed at least one ESAS assessment during TKI therapy and retrospectively reviewed their clinical data to evaluate the feasibility of ESAS score assessment in the 60 CML patients. Patients were categorized into two groups: those who discontinued TKI due to intolerance (n=18) and those who continued therapy (n=42). Data collected included age, sex, TKI type used, total ESAS score, and the score in each domain of ESAS score. ESAS scores were analyzed as continuous variables and dichotomized using a threshold of ≥30 to define higher symptom burden. Statistical comparisons were performed to evaluate potential associations between symptom burden and TKI discontinuation. Results Of the 60 patients included, 18 (30%) discontinued TKI therapy due to intolerance. Median age was similar between the 2 groups: 51 years (range 48–71) in the discontinuation group vs. 54 years (range 48–71) in those who continued (p = 0.38). Discontinuation was more frequent among males (13/27, 48%) compared to females (5/25, 20%; p=0.042). TKIs most frequently used before discontinuation were dasatinib (n=8 out of 27 pts, 30%), bosutinib (n=3/8, 37%), imatinib (n=3/5, 60%), nilotinib (n=2/6, 33%), and asciminib (n=2/27, 7%). Among patients who continued therapy, the majority were on second-generation TKIs (n=15) or asciminib (n=25). The median total ESAS score among patients who discontinued TKI was 18.5 (range 4–40), and 17 (range 10–34) in those who did not discontinue (p = 0.81). Among individual symptoms, fatigue and anxiety had the highest mean scores (3.6 and 2.9, respectively) among patients who discontinued TKI therapy due to intolerance. Patients with total ESAS scores had numerically higher rates of TKI discontinuation due to adverse events (8/23 [35%] vs. 10/37 [27%] for scores <30; p = 0.52). Follow-up ESAS assessments at 6–12 months after TKI switch were available for 9 patients. Of these, 6 showed improvement in scores (median reduction: 12 ± 3), 2 had no change, and 1 had worsening ESAS score. Conclusion In this pilot study, higher ESAS scores were associated with a greater likelihood of TKI discontinuation due to intolerance, although the difference was not statistically significant. These findings support the potential utility of ESAS as a PRO monitoring tool in CML, helping to identify patients at risk of intolerance and guide proactive supportive care interventions. Additionally, ESAS may be valuable for longitudinal follow-up to assess symptom evolution after treatment changes. Prospective studies with larger cohorts are warranted to validate these observations and determine whether symptom-guided strategies can improve TKI adherence and clinical outcomes in CML.

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)0.015
metaresearch head score (Gemma)0.013
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 score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.309
Teacher spread0.286 · 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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Citations0
Published2025
Admission routes2
Has abstractyes

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