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Record W3017274201 · doi:10.1002/cncr.32847

Effects of acupuncture versus cognitive behavioral therapy on cognitive function in cancer survivors with insomnia: A secondary analysis of a randomized clinical trial

2020· article· en· W3017274201 on OpenAlexaff
Kevin T. Liou, James C. Root, Sheila N. Garland, Jamie Green, Yuelin Li, Q. Susan Li, Philip W. Kantoff, Tim A. Ahles, Jun J. Mao

Bibliographic record

VenueCancer · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsMemorial University of Newfoundland
FundersNational Cancer InstitutePatient-Centered Outcomes Research Institute
KeywordsMedicineCognitionInsomniaRandomized controlled trialCognitive behavioral therapy for insomniaAcupunctureCognitive behavioral therapyPhysical therapyClinical psychologyAlternative medicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cancer-related cognitive impairment is a prevalent, disruptive condition potentially exacerbated by sleep disturbances. The current study was performed to evaluate the effects of acupuncture versus cognitive behavioral therapy for insomnia (CBT-I) on objective and subjective cognitive function in cancer survivors with insomnia. METHODS: Using data from a randomized clinical trial (160 survivors) that compared acupuncture versus CBT-I for insomnia occurring in cancer survivors, the authors analyzed cognitive outcomes and their relationship to insomnia symptoms. Analysis was limited to 99 patients who reported baseline cognitive difficulties. Interventions were delivered over 8 weeks. Objective attention, learning, and memory were evaluated using the Buschke Selective Reminding Test. Subjective cognitive function was assessed using the Brown Attention-Deficit Disorder Scales. Insomnia symptoms were assessed using the Insomnia Severity Index. All outcomes were collected at baseline, week 8, and week 20. RESULTS: From baseline to week 8, acupuncture produced statistically significant within-group improvements in objective attention (Cohen D, 0.29), learning (Cohen D, 0.31), and memory (Cohen D, 0.33) that persisted to week 20 (all P < .05), whereas CBT-I produced a statistically significant within-group improvement in objective attention from baseline to week 20 (Cohen D, 0.50; P < .05); between-group differences were not statistically significant. Both interventions produced statistically significant within-group improvements in subjective cognitive function at weeks 8 and 20 compared with baseline (all P < .001); between-group differences were not statistically significant. In the acupuncture group, patients with clinically meaningful responses with regard to insomnia symptoms demonstrated a significantly greater improvement in subjective cognitive function compared with those without clinically meaningful insomnia responses (P = .006). CONCLUSIONS: Among cancer survivors with insomnia, both acupuncture and CBT-I produced significant improvements in objective and subjective cognitive function. However, the effect sizes varied and only survivors in the acupuncture group demonstrated a significant relationship between cognitive and sleep outcomes. These preliminary findings warrant further investigation to guide the personalized management of patients with cancer-related cognitive impairment.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.064
GPT teacher head0.398
Teacher spread0.334 · 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 designNon-randomized trial
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

Citations40
Published2020
Admission routes1
Has abstractyes

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