MétaCan
Menu
Back to cohort
Record W4392213318 · doi:10.51507/j.jams.2024.17.1.38

Effect of Single Acupuncture Point (Liver 7) on Pain and Range of Motion on Osteoarthritis of Knee

2024· article· en· W4392213318 on OpenAlexaboutno aff
M. Periyachishreepriya, P. Kumaresan, Naveena Arumugam

Bibliographic record

VenueJournal of Acupuncture and Meridian Studies · 2024
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisAcupunctureMedicineRange of motionPhysical therapyPhysical medicine and rehabilitationAlternative medicinePathology

Abstract

fetched live from OpenAlex

Background: : Osteoarthritis of the knee (OAK) is a chronic degenerative musculoskeletal disorder that strongly affects the elderly population and decreases their quality of life. Pain, stiffness, and restricted knee movements are the major characteristic features of OAK. There are no studies available on the effect of the liver 7 (LR 7) acupuncture point on pain and range of motion. Objectives: : To study the effectiveness of the LR 7 acupuncture point on pain and range of motion in chronic OAK patients. Methods: : Thirty-five subjects aged between 40 and 65 years were recruited from Government Yoga and Naturopathy Medical College, Chennai. Participants were included in the study after they fulfilled the eligibility criteria. The duration of acupuncture was 20 minutes (5 days/week) for 2 weeks. Baseline and post-intervention assessments were performed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the degree of knee flexion and extension was measured using a goniometer. Results: < 0.001). These findings indicate that acupuncture treatment improved the range of knee movement. Conclusion: : The present study showed that 10 sessions of LR 7 acupuncture for people with OAK significantly reduced pain and increased range of motion. We conclude that LR 7 acupuncture is an adjuvant therapy for alleviating pain and managing OAK.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
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 head0.016
GPT teacher head0.306
Teacher spread0.289 · 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 designOther design
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Acupuncture and Meridian StudiesSame topicAcupuncture Treatment Research StudiesFrench-language works237,207