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Record W2024600214 · doi:10.1002/pon.860

Empirical validation of the Insomnia Severity Index in cancer patients

2004· article· en· W2024600214 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsycho-Oncology · 2004
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health ResearchUniversité Laval
KeywordsInsomniaContext (archaeology)MedicineQuality of life (healthcare)Construct validityPopulationMedical diagnosisClinical psychologyPsychometricsPsychiatryPathology

Abstract

fetched live from OpenAlex

Despite the elevated prevalence of insomnia in cancer patients, there is a lack of brief validated instruments for the evaluation of this particular problem in this population. The goal of this study is to empirically validate the Insomnia Severity Index (ISI) and to evaluate its ability to screen insomnia in 1670 cancer patients. The results support the internal consistency and temporal stability of the ISI. Its two-component factor structure is clear and stable between different cancer diagnoses. The construct validity of that instrument is also supported by correlations obtained with various measures of sleep and one measure of quality of life. The ISI is also sensitive to therapeutic changes. A clinical cut-off score of 8 on the ISI is associated with optimal sensitivity and specificity for the detection of sleep difficulties. In conclusion, the ISI appears to be an excellent evaluation and screening tool in the context of cancer.

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.

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 score0.031
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.381
Teacher spread0.352 · 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