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Record W2808175748 · doi:10.22246/jikm.2018.39.2.116

A Case Report on Heat Sensation in Both Feet Caused by Restless Leg Syndrome Using Conservative Korean Medical Treatment

2018· article· en· W2808175748 on OpenAlexaboutno aff
Gyeongmuk Kim, Won-joo Suh, Su-bin Su-bin, Woo-sang Jung, Sang-kwan Mun, Seungwon Kwon, Ki‐Ho Cho

Bibliographic record

VenueThe Journal of Internal Korean Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicRestless Legs Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsElectroacupunctureMedicineVisual analogue scaleMcGill Pain QuestionnaireAcupuncturePhysical therapyPain sensationSensationThermal sensationAnesthesiaAlternative medicineThermal comfortPsychology

Abstract

fetched live from OpenAlex

Objectives: The purpose of this study is to evaluate the effectiveness of electroacupuncture on heat sensation of the feet of a 61-year-old female patient with restless leg syndrome. Methods:Electroacupuncture was performed at four acupoints (KI3 (太谿), KI6 (照海), LR3 (太衝), LR2 (行間)) selected to reduce heat sensation in both feet.The patient's symptoms were assessed using the VAS (Visual Analogue Scale), the SF-MPQ (short-form McGill Pain Questionnaire), and the IRLS (International Restless Legs Scale).The treatment was performed from April 20, 2010 to April 24, 2010.Results: During five sessions of electroacupuncture treatments, the VAS, SF-MPQ, and IRLS scores improved throughout the treatment period and afterwards. Conclusions:The results suggest that electroacupuncture at KI3(太谿), KI6(照海), LR3(太衝), LR2(行間) can be effective for reducing hot flush in both feet.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.082
GPT teacher head0.392
Teacher spread0.310 · 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 designCase report
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

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Internal Korean MedicineSame topicRestless Legs Syndrome ResearchFrench-language works237,207