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Record W7045499733

Análise do efeito da auriculoacupuntura em pacientes com doença renal e dor musculoesquelética crônicas: ensaio clínico randomizado

2020· article· en· W7045499733 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2020
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVisual analogue scalePlaceboHemodialysisAcupunctureSchmidt sting pain indexDialysisRandomized controlled trial
DOInot available

Abstract

fetched live from OpenAlex

Introduction: chronic pain is common in patients with chronic kidney disease. Therefore, complementary therapies are part of the non-pharmacological measures in pain control, besides presenting lower risk, low cost and being less invasive. Among them, auriculoacupuncture stands out. Objective: to analyze the effect of auriculoacupuncture on chronic musculoskeletal pain in renal patients on hemodialysis. Method: randomized, controlled, blind ed trial conducted in two hemodialysis clinics. The study included two groups, totaling 94 patients, randomized into blocks, allocated in a ratio of 1:1, in which the intervention group received ear acupuncture (AA) and the control group, placebo acupuncture (SAA). The intervention group received 12 sessions of auriculoacupuncture during dialysis therapy for 12 consecutive weeks. The intervention consisted of the application of adhesive spheres in the shenmen, tranquilizer, thalamus, sympathetic, scratch point, kidney, spleen, liver and lumbar vertebrae. The control group received the same follow-up, but with the spheres, at the following points: tonsil, esophagus, genitals, scaly and helix 4. The size and model of the spheres were identical. The data analysis instruments were: Visual Analog Pain Scale (VAS) and Mc Gill's questionnaire for pain; Rolland Morris Scale for disability and Pittsburg Sleep Quality Index (PSQI) for sleep. In the analysis, the following tests were used: t Pareado, Wilcoxon, ANOVA and Cohen's D. Results: the variation between the median pain score in the initial and final moments was Δ=+0.4 (p=0.931) in the SAA and Δ=-5.89 (p<0.001) in the AA (VAS); Δ=-8.78 (p<0.001) in SAA and Δ=- 28.40 (p<0.001) in AA (McGill). Regarding disability, the variation was Δ=-3.02 (p=0.008) in SAA and Δ=-6.38 (p<0.001) in AA; and sleep Δ=-0.23 (p=0.102) in SAA and Δ=-6.80 (p<0.001) in AA. After the 12 sessions, the auriculoacupuncture reduced pain when compared to the SAA group measured by both the EVA Scale (63% F=38.09, p<0.001); mcgill (49% F=21.65, p<0.001). It also reduced disability (33% F=11.02, p<0.001) and improved sleep quality (109.1% F=109.1, p<0.001). A high magnitude of effect was found at the end of the 12 pain sessions measured by the EVA Scale (D=-1.93) and McGill (D=-1.34), as well as in the PSQI (D=-1.94). Regarding disability, a small magnitude of effect was observed (D=- 0.19). Conclusion: the auriculoacupuncture intervention showed a positive effect on reducing pain and disability and improving sleep quality of patients with renal disease and chronic musculoskeletal pain. REBEC: RBR:3cpwwt

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.272
Teacher spread0.246 · 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 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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