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Record W2596764555

Effects of Reiki energy therapy on saphenous vein incision pain: A randomized clinical trial study

2017· article· en· W2596764555 on OpenAlexaboutno aff
Elham Shaybak, Abdolghani Abdollahimohammad, Mozhgan Rahnama, Nosratollah Masinaeinezhad, Changiz Azadi-Ahmadabadi, Mohammadreza Firouzkohi

Bibliographic record

VenueDer pharmacia lettre · 2017
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTherapeutic touchMcGill Pain QuestionnaireRandomized controlled trialPhysical therapyVisual analogue scaleVeinAnesthesiaSurgery
DOInot available

Abstract

fetched live from OpenAlex

Purpose: This study aimed to determine the effect of energy therapy on saphenous vein incision pain after coronary artery bypass grafting [CABG]. Methods: Forty patients after CABG were randomly assigned to Reiki and Sham Reiki groups. The intensity and sensory as well as affective qualities of pain were measured before and after the interventions. The patients underwent Reiki healing energy and sham Reiki for 9 minutes. The short and modified version of the McGill pain questionnaire and the Visual Analog Scale was used for pain measurement. Results: There was a significant difference between the Reiki and sham Reiki groups in the mean scores of pain sensory quality in the legs. However, no statistically significant difference was found between the two groups in the mean scores of pains severity and affective quality of pain in the legs [P>0.05]. Conclusion: Reiki could be used as a simple and cost-effective nursing intervention for managing sensory dimension of pain quality in the patients’ after CABG.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.329
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.114
GPT teacher head0.455
Teacher spread0.341 · 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.

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".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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