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Record W4318020058 · doi:10.22246/jikm.2022.43.6.1274

The Effect of Korean Medicine Treatment for Hemorrhagic Transformation after Interventional Reperfusion Therapy of an Anterior Circulation Infarction in a Patient with Hemiplegia and Conscious and Cognitive Disorders: A Case Report

2022· article· en· W4318020058 on OpenAlexaboutno aff
Chae-eun Kim, Ji-hyeon Kang, Seohyun Kim, Jun‐Seok Kim, Kyung-min Baek

Bibliographic record

VenueThe Journal of Internal Korean Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMoxibustionDeliriumAcupunctureGlasgow Coma ScalePhysical therapyTraditional Chinese medicineInfarctionMontreal Cognitive AssessmentInternal medicineMyocardial infarctionSurgeryDementiaPsychiatryAlternative medicinePathology

Abstract

fetched live from OpenAlex

Objectives: The study investigated the effect of Korean medicine treatment on a hemiplegic patient with conscious and cognitive disorders due to hemorrhagic transformation after interventional reperfusion therapy of anterior circulation infarction.Case presentation: The patient was treated with acupuncture, moxibustion, cupping, and herbal medicine in combination with Western medicine and physical therapy. The effects on clinical symptoms were evaluated using the Manual Muscle Test (MMT), Glasgow Coma Scale (GCS), Korean Mini-Mental State Examination (K-MMSE), Korean Nursing Delirium Screening Scale (Korean Nu-DESC), and Modified Bathel Index (MBI). After the treatment, the MMT grade increased from Gr.0-1 to Gr.0-3, the GCS score increased from 10 to 15, the K-MMSE score increased from 8 to 15, the Korean Nu-DESC score decreased from 3 to 1, night delirium disappeared, and the MBI score increased from 13 to 26.Conclusions: Complex Korean medicine treatments were effective for improving the clinical symptoms of hemorrhagic transformation after interventional reperfusion therapy for anterior circulation infarction in a patient with hemiplegia and conscious and cognitive disorders. However, further studies are needed.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.507
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.008
GPT teacher head0.284
Teacher spread0.276 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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