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Identifying trends for high symptom burden across the care continuum in adolescents and young adults (AYA) with hematologic malignancies.

2022· article· en· W4281780509 on OpenAlexaboutno aff
Sarah Monick, Collin Hanson, Amy Yuan Wang, Sang Mee Lee, Karen Sarah Hoehn, Fay J. Hlubocky, Wendy Stock, Adam DuVall, Jennifer L. McNeer, Tara O. Henderson, Christopher K. Daugherty

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsychosocialSurvivorship curveQuality of life (healthcare)Young adultCancerGerontologyFamily medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

10019 Background: Cancer in adolescence and young adulthood is a non-normative life event associated with profound long-term physical and psychosocial consequences. Prior studies specifically demonstrate AYA patients with hematologic malignancies experience high symptom burden with poor quality of life. Here, we describe trends and factors associated with high symptom burden in patients treated at a multi-disciplinary AYA leukemia clinic at an academic medical center. Methods: The Edmonton Symptom Assessment Scale [ESAS] (measuring physical symptoms) and Brief Symptom Inventory-18 [BSI-18] (measuring psychological distress) were administered at baseline, 3 months, and 6 months from initial survey. Baseline demographic and treatment characteristics were collected. All patients had leukemia or lymphoma, were on treatment or in survivorship, and had access to a palliative care provider who was integrated into the clinic. Data was analyzed using Wilcox ranked sum test and linear mixed-effects model testing. Results: Of the 31 patients (median age 29 years, range 18-43) who completed surveys, 25 (80%) completed surveys at 6 months; 48% were female, 58% were white, 16% lived alone, 28% were single, 37% had children, 54% completed college, and 35% had an annual household income ≥ $75,000. Phases of care included 52% on intensive frontline/salvage treatment, 19% in maintenance (i.e. lower intensity) therapy, 16% as recent stem cell transplant (SCT) recipients (< 1 year since date of transplant), and 13% in survivorship. Overall, ESAS scores among patients were similar regardless of care phases; however, patients on frontline/salvage therapy reported higher fatigue than those in maintenance (p = 0.01). Moderate-severe symptoms (defined as ESAS > 3), including tiredness, anxiety, poor appetite, and poor feeling of well-being, were reported regardless of phase of care. At 6 months, there was no significant change in BSI-18 scores compared to baseline, while tiredness (p = 0.02), depression (p = 0.01), and constipation (p = 0.02) improved; no ESAS scores worsened. Age ≥ 30 was associated with worsening anxiety (p = 0.01) at 6 months vs baseline, while no statistically significant differences in ESAS scores were observed among race, education, relationship status, presence of children, living arrangement, or income. Conclusions: AYA patients with hematologic malignancies experience high symptom burden independent of demographic characteristics or phase of care. These findings highlight the need for standard symptom screening at each visit and the importance of incorporating supportive care throughout the continuum.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.072
GPT teacher head0.441
Teacher spread0.369 · 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
Published2022
Admission routes1
Has abstractyes

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