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Record W2912121144 · doi:10.1002/pon.5004

Severity, change over time, and risk factors of anxiety in children with cancer depend on anxiety instrument used

2019· article· en· W2912121144 on OpenAlexafffund
Tanya Lazor, Jason D. Pole, Claire De Souza, Tal Schechter, Ronald Grant, Hailey Davis, Nathan Duong, Eliana Stein, Sadie Cook, Leonie Tigelaar, Lillian Sung

Bibliographic record

VenuePsycho-Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsPediatric Oncology GroupInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick Children
FundersCanadian Institutes of Health ResearchPediatric Oncology Group of Ontario
KeywordsAnxietyWorryMedicineClinical psychologyPsychologyPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: The primary objective was to describe severity of anxiety among children and adolescents receiving chemotherapy for cancer or undergoing hematopoietic stem cell transplantation (HSCT). Secondary objectives were to describe how anxiety changes over time and determine factors associated with anxiety. METHODS: Participants were aged 8 to 18 and either receiving chemotherapy for cancer or undergoing HSCT for any indication. Respondents self-reported three anxiety measurement instruments at chemotherapy cycle or HSCT conditioning start and 3 weeks later. RESULTS: The proportion of participants with severe anxiety ranged from 10/77 (13.0%) to 22/77 (28.6%) depending on instrument used. Change over time also varied across instruments, with significant improvement observed with PedsQL (procedural) (P = 0.037) and PROMIS (P = 0.013). Factors associated with anxiety similarly varied by instrument. Older age was associated with more anxiety on the PedsQL (worry) (P = 0.036), and higher household income was associated with less anxiety on the MASC-10 (P = 0.028). CONCLUSIONS: While we found that a small proportion of patients met or exceeded thresholds for severe anxiety, we also noted that severity, change over time, and predictors of anxiety varied depending on instrument used. Future research should ensure that selected instruments measure the construct of interest and describe how anxiety is conceptualized in the study.

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 score0.011
Threshold uncertainty score0.993

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)0.0010.000

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 head0.028
GPT teacher head0.327
Teacher spread0.299 · 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

Citations22
Published2019
Admission routes2
Has abstractyes

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