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Abstract PD12-09: Patient-reported outcomes of adolescents and young adults with breast cancer treated with curative intent

2021· article· en· W3130800072 on OpenAlexaffabout
Revathy Krishnamurthy, Tulin Cil, Philippe L. Bédard, Robin Forbes, Madeline Li, Zhihui Liu, Jennifer Croke

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineBreast cancerLogistic regressionMedical recordCancerAnxietyDepression (economics)Stage (stratigraphy)Young adultInternal medicinePediatricsPsychiatry

Abstract

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Abstract Purpose: To evaluate patient-reported outcomes of adolescents and young adults (AYAs) with breast cancer treated with curative intent. Methods: AYA breast cancer patients (defined as diagnosed between 18 to 39 years of age) treated at a large tertiary cancer centre between January 2014 and December 2016 were identified. Patients routinely complete the validated symptom screening tool, the Edmonton Symptom Assessment System-revised (ESAS-r) prior to their clinical encounter. Scores from diagnosis up to 24 months post-diagnosis were obtained from our internal database, with elevated scores defined as > 4 for each individual symptom (rated 0-10). Patient, clinical and treatment characteristics were extracted from medical records. Descriptive statistics were used to describe patient, clinical and treatment characteristics, and ESAS-r scores. Time to recurrence was calculated from diagnosis to local or regional recurrence, distant metastasis or death (whichever occurred first). Kaplan-Meier survival analysis and log-rank tests were used to compare time to recurrence between women with vs. without elevated symptom scores. Chi-squared test was used to test the change in number of patients with elevated symptom scores over time. Univariable and multivariable logistic regression models were carried out to assess association between various factors and ESAS-r symptoms of depression, anxiety and well-being within 24 months of diagnosis. Results: Among 258 patients identified, 211 (82%) had accompanying ESAS-r and were eligible for analysis. Median follow-up was 3.9 years. Median age at diagnosis was 35 (20-39), most were clinical stage 2/3 at diagnosis (63%), 20% had triple negative disease, 76% received chemotherapy and 81% received radiotherapy. Overall, symptom burden was the highest (scores > 4) for decreased well-being (52%), tiredness (48%) and anxiety (44%). Although symptom burden significantly improved over time, 43%, 38% and 33% of patients, respectively, reported elevated symptoms 24 months post-diagnosis. Multivariable analysis found that elevated anxiety was significantly associated with younger age at diagnosis (p=0.036), receipt of chemotherapy (p=0.01) and presence of long-term toxicity (p=0.0032). Elevated depression, anxiety and well-being were significantly associated with referral to Psychosocial Oncology (p=0.024, p=0.036 and p=0.019, respectively), whereas well-being was also associated with referral to Survivorship Clinic (p=0.043). However, overall rates of referral (24-36%) were much lower than symptom prevalence. There was no association between elevated symptoms and time to recurrence. Conclusion: AYAs diagnosed with breast cancer report high symptom burden that continues to persist up to 24-months post-diagnosis. Patients with elevated psychosocial distress are more likely to be referred to Psychosocial Oncology and Survivorship clinics, indicating that the ESAS-r is a useful screening tool in a real-world setting. However, a gap between symptom burden and intervention exists, providing opportunities for future research. Citation Format: Revathy Krishnamurthy, Tulin Cil, Philippe Bedard, Robin Forbes, Madeline Li, Zhihui (Amy) Liu, Jennifer Croke. Patient-reported outcomes of adolescents and young adults with breast cancer treated with curative intent [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD12-09.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.021
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

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

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 head0.048
GPT teacher head0.378
Teacher spread0.329 · 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 teacher head, 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
Published2021
Admission routes2
Has abstractyes

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