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Record W4378745963 · doi:10.1089/jicm.2022.0709

Retrospective Outcomes of a New Acupuncture Service at a Comprehensive Cancer Center

2023· article· en· W4378745963 on OpenAlexaboutno aff
Yuming Shi, Thuy Nguyen, Megan Farrell, Samuel N. Rodgers‐Melnick, Gabriel Moss, CHRISTINE M. KAISER, Jeffery A. Dusek, Prateek Mendiratta, Françoise Adan, Richard T. Lee

Bibliographic record

VenueJournal of Integrative and Complementary Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcupunctureNauseaPhysical therapyConstipationAnxietyDepression (economics)CancerCancer painHospital Anxiety and Depression ScaleInternal medicinePsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

Introduction:Among cancer centers, patients' interest in acupuncture is growing, in addition to clinical research in the intervention. Their National Cancer Institute-designated comprehensive cancer center piloted an acupuncture service. Their aim was to assess whether acupuncture impacted patient self-reported symptoms as delivered clinically and discuss their implementation strategy. Methods:Patients undergoing acupuncture at a comprehensive cancer center from June 2019 to March 2020 were asked to complete a modified Edmonton Symptom Assessment Scale (ESAS) before and after each session. The authors evaluated symptom changes after acupuncture in both outpatient and inpatient settings. A change of ≥1 U, on the 0–10 scale, was considered clinically significant. Results:Three hundred and nine outpatient and 394 inpatient acupuncture sessions were provided to patients at the comprehensive cancer center during this period, of which surveys from 186 outpatient (34 patients) and 124 inpatient (57 patients) sessions were available for analysis. The highest pretreatment symptoms reported by outpatients were neuropathy (5.78), pain (5.58), and tiredness (5.59). Outpatients receiving acupuncture reported clinically significant improvements in pain (ESAS score change of −2.97), neuropathy (−2.68), decreased lack of well-being (−2.60), tiredness (−1.85), nausea (−1.83), anxiety (−1.56), activities of daily living issues (−1.32), depression (−1.23), anorexia (−1.19), insomnia (−1.14), and shortness of breath (−1.14). The most severe pretreatment symptoms reported by inpatients were pain (6.90), insomnia (6.16), and constipation (5.44). Inpatients receiving acupuncture reported clinically significant improvements in anxiety (−3.69), nausea (−3.61), insomnia (−3.26), depression (−2.98), pain (−2.77), neuropathy (−2.68), anorexia (−2.20), constipation (−1.95), and diarrhea (−1.26). Conclusion:Both outpatient and inpatient participants in this pilot acupuncture program reported clinically significant improvements in symptoms after a single acupuncture treatment. Some differences between the outpatient and inpatient settings warrant further investigation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.076
GPT teacher head0.409
Teacher spread0.332 · 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.

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

Citations5
Published2023
Admission routes1
Has abstractyes

Explore more

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