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Record W3015594824 · doi:10.1155/2020/7209548

Group versus Individual Acupuncture (AP) for Cancer Pain: A Randomized Noninferiority Trial

2020· article· en· W3015594824 on OpenAlexaff
Erica Nicole Reed, Jessa Landmann, Devesh Oberoi, Katherine-Ann Piedalue, Peter Faris, Linda E. Carlson

Bibliographic record

VenueEvidence-based Complementary and Alternative Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsBrief Pain InventoryMedicineRandomized controlled trialMoodAcupunctureCancer painPhysical therapyInternal medicineCancerChronic painClinical psychologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: A service delivery model using group acupuncture (AP) may be more cost-effective than individual AP in general, but there is little evidence to assess whether group AP is a comparable treatment in terms of efficacy to standard individual AP. The study aimed to compare the group to individual delivery of 6-week AP among cancer patients with pain. METHODS: The study design was a randomized noninferiority trial of the individual (gold standard treatment) vs. group AP for cancer pain. The primary outcome was pain interference and severity, measured through the Brief Pain Inventory (BPI). Secondary outcomes included measures of mood, sleep, fatigue, and social support. Changes in outcomes from pre- to postintervention were examined using linear mixed effects modeling and noninferiority was inferred using a noninferiority margin, a difference of change between the two arms and 95% CIs. Pain interference was tested with a noninferiority margin of 1 on the BPI, while pain severity and secondary outcomes were compared using conventional statistical methods. RESULTS: The trial included 74 participants randomly allocated to group (35) or individual (39) AP. The noninferiority hypothesis was supported for pain interference [Ө - 1, Δ 1.03, 95% CI: 0.15-2.20] and severity [Ө - 0.81, Δ 0.52, 95% CI:.33-1.38] as well as for mood [Ө - 7.52, Δ 9.86, 95% CI: 0.85-18.86], sleep [Ө - 1.65, Δ 2.60, 95% CI: 0.33-4.88], fatigue [Ө 8.54, Δ - 15.57, 95% CI: 25.60-5.54], and social support [Ө.26, Δ - 0.15, 95% CI: - 0.42-0.13], meaning that group AP was not inferior to individual AP treatment. Both arms evidenced statistically significant improvements across all symptoms before and after the intervention. Effect sizes for the group vs. individual AP on outcomes of pain, sleep, mood, and social support ranged from small to very large and were consistently larger in the group condition. The total average cost-per-person for group AP ($221.25) was almost half that of individual AP ($420). CONCLUSIONS: This is the first study to examine the noninferiority of group AP with the gold standard individual AP. Group AP was noninferior to individual AP for treating cancer pain and was superior in many health outcomes. Group AP is more cost-effective for alleviating cancer pain and should be considered for implementation trials.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.259
GPT teacher head0.429
Teacher spread0.170 · 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 designRandomized 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

Citations11
Published2020
Admission routes1
Has abstractyes

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