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Record W4405795014 · doi:10.1080/07347332.2024.2444276

Cognitive impairment in young adults after cancer treatment: A descriptive correlational study on levels and associations with disease-related, psychological, and lifestyle factors

2024· article· en· W4405795014 on OpenAlexaff
Sitara Sharma, Jennifer Brunet

Bibliographic record

VenueJournal of Psychosocial Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsInstitut du Savoir MontfortOttawa HospitalMontfort HospitalUniversity of Ottawa
Fundersnot available
KeywordsCognitionYoung adultDiseaseClinical psychologyPsychologyCognitive impairmentCancerGerontologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Purpose Young adults report challenges concerning cancer-­related cognitive impairment (CRCI). This study aimed to: (1) describe cognition in young adults post-cancer treatment using self-report and performance-based measures, and (2) examine associations between cognition and relevant disease-related, psychological, and lifestyle (physical activity; PA) factors.Methods Forty-six young adults (Mage = 31.4 ± 5.4 years; 91.3% female) completed web-based questionnaires and neuropsychological tests; data were analyzed via descriptive statistics and bivariate correlations.Results Most (60.9%) self-reported clinically meaningful CRCI and displayed poorer executive functioning and processing speed (but not working memory) than normative data. Disease-related factors, psychological factors, and PA had null-to-moderate (rs = −0.32–0.28), small-to-large (rs = −0.74–0.77), and trivial-to-moderate (rs = −0.16 – 0.36) correlations with cognition (respectively), with differences in magnitude between self-­reported and objective cognition.Conclusion The observed correlations warrant further exploration in larger prospective studies, and trials should investigate causative mechanisms and specific PA parameters.

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 score0.018
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.379
Teacher spread0.341 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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