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Record W2355754300

Treatment of coronary heart disease and angina pectoris with Tongxinluojiaonang

2013· article· en· W2355754300 on OpenAlexaboutno aff
Zhang Ji-don

Bibliographic record

VenueChinese Journal of New Clinical Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnginaCoronary heart diseaseInternal medicineCardiologyCanadian Cardiovascular SocietyMyocardial ischemiaHeart rateDiseaseIschemiaBlood pressureMyocardial infarction
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe the curative effect of Tongxinluojiaonang in treating coronary heart disease and angina pectors.Methods Two hundred and sixty-eight patients with clinically diagnosed coronary heart disease and angina pectoris were divided into two groups randomly: the treatment group and the control group, with 134 cases in each group.The control group were treated with common pharmaceuticals, while on the basis of abore treatment the treatment group were treated with Tongxinluojiaonang, taking orally 4 capsules each time, three times a day.The course of treatment was four weeks.In the overall process, all cases were monitored by electrocardiogram,dynamic electrocardiogram and blood biochemistry. According to the variation of patient’s condition, some cases were monitored by immediate electrocardiogram,cardiac ultrasonography and treadmill exercise testing.The relating symptoms,heart attacks and glyceryl trinitrate using levels were recorded.Results The total effective rate of treatment group was 91.79%, and that of the control group 70.15%.The diversity between them was significant(P0.01).Conclusion Tongxinluojiaonang can effectively relieve symptom of stethalgia,sense of suppression in the chest,palpitation and shortness of breath. It can remarkably improve myocardial ischemia, and is an ideal pharmaceutical in treating coronary heart disease and angina pectoris.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.053
GPT teacher head0.380
Teacher spread0.327 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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