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Record W2811314419 · doi:10.1007/s00520-018-4316-9

Patient-reported treatment-related symptom burden for patients with advanced melanoma in Canada

2018· article· en· W2811314419 on OpenAlexafffundabout
Winson Y. Cheung, Michelle K. White, Martha Bayliss, Angela Stroupe, Andrew Lovley, Bellinda L. King‐Kallimanis, Kathryn Lasch

Bibliographic record

VenueSupportive Care in Cancer · 2018
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
FundersMerck CanadaMelanoma Research Alliance
KeywordsMedicineQuality of life (healthcare)MelanomaNauseaNursing researchConstipationDiarrheaQualitative researchInternal medicineOncologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Little is known on the impact of emerging treatments for advanced melanoma (stages III and IV) on patients' functioning and well-being. The objective of this study was to describe the patient-reported treatment-related symptom (TRS) burden in advanced melanoma. METHOD: Twenty-nine in-depth, qualitative interviews were conducted among adult patients with advanced melanoma in Canada using a semi-structured interview method. Interviews were transcribed verbatim, and key concepts were identified using a grounded theory analytic approach. RESULTS: The 29 patients reported 13 unique treatment journeys involving the following drug therapy categories: cytotoxic chemotherapies, CTLA-4 inhibitors, BRAF or MEK inhibitors, and PD-1 inhibitors. Patients typically underwent multiple treatment episodes over time. Common TRSs included nausea, fatigue, diarrhea or constipation, and skin rashes. Patients described these as impacting their physical functioning, ability to perform activities of daily living, social functioning, and overall quality of life. CONCLUSION: Our findings provide a description of the patient's experience with treatment for advanced melanoma. Our sample included patients typically diagnosed in mid-life, facing an urgent sequence of medical procedures and a pharmacological treatment journey that was burdensome. There is a need for less toxic and more efficacious treatments earlier in the patient journey to alleviate the impact of advanced melanoma treatment on patients' health-related quality of life.

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 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 score0.485
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.255
Teacher spread0.248 · 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".

Quick stats

Citations11
Published2018
Admission routes3
Has abstractyes

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