MétaCan
Menu
Back to cohort
Record W4376525951 · doi:10.19080/ctoij.2023.23.556106

Accessing the Health Needs of Adolescents and Young Adults with Cancer in Brazil

2023· article· en· W4376525951 on OpenAlexaboutno aff
Sáhlua Miguel Volc

Bibliographic record

VenueCancer therapy & Oncology International Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyCancerPsychologyMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Adolescents and young adult cancer patients have unique characteristics and specific needs that, when properly comprehended, can improve quality of life during and after the oncologic treatment.Objective: verify those that would be the main health needs among this group of patients.Method: cultural and linguistic validation of a canadian questionnaire regarding the theme, with posterior application on 252 patients afflicted by malign neoplasms, with ages 15-39 undergoing oncological treatment or having finished their treatment in the last 5 years.Results: we have verified differences and similarities when comparing the results from Brazil and Canada.Some needs had the same level of importance, such as preoccupations with healthy diets, while other presented disparities that reflect cultural differences between the two groups.Conclusion: based on the gathered results, we indicated what would be the specific needs of this demographic, guiding adequations to physical space, interdisciplinary follow-ups and the supplying of information relevant to the target groups in question.

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)0.003
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 score0.123
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.038
GPT teacher head0.421
Teacher spread0.383 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCancer therapy & Oncology International JournalSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207