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Record W3094382544

황련해독탕 약침 치료를 병행한 임신 중 좌골신경통을 동반한 요통 환자의 증례보고

2019· article· ko· W3094382544 on OpenAlexaboutno aff
김선경, 강수진, 홍가경, 최창민

Bibliographic record

VenueThe Journal of Korean Obstetrics and Gynecology · 2019
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSciaticaOswestry Disability IndexMcGill Pain QuestionnaireVisual analogue scaleLow back painAcupunctureMoxibustionPhysical therapyBack painAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

Purpose: This study was to report clinical effect and safety of Traditional Korean Medical Treatment including Hwangryunhaedok-tang Pharmacopuncture for pregnant woman with low back pain with sciatica. Methods: The paitent who suffered from sudden low back pain with sciatica was treated with Hwangryunhaedok-tang Pharmacopuncture, acupuncture, moxibustion, herbal medication and cupping therapy during admission. Visual Analog Score(VAS), Oswestry Disability Index (ODI), McGill pain qestionnaire-short form(SF-MPQ) were checked to measure the outcome. Results: After treatment, Visual Analog Score(VAS), Oswestry disability index(ODI), McGill pain qestionnaire-short form(SF-MPQ) were considerably improved in this case. Conclusion: The results indicate that Traditional Korean Medical Treatment including Hwangryunhaedok-tang Pharmacopuncture is the effective therapy for low back pain with sciatica during pregnancy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.033
GPT teacher head0.327
Teacher spread0.293 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueThe Journal of Korean Obstetrics and GynecologySame topicHealthcare and Venom ResearchFrench-language works237,207