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Record W2352692044

Effect of Guishen Pain-Killer on easing pain in micro-wave heating among tissue to treat hemorrhoids

2003· article· en· W2352692044 on OpenAlexaboutno aff
Zheng La

Bibliographic record

VenueZhongguo kangfu lilun yu shijian · 2003
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsHemorrhoidsMedicineAnesthesiaPain managementGeneral anaesthesiaSurgery
DOInot available

Abstract

fetched live from OpenAlex

ObjectiveTo observe the easing pain effect of being used Guishen Pain-Killer, a Chinese medicine, for improving the anaesthesia project which was used in using micro-wave heating among tissue to treat hemorrhoid.MethodsOn the basic of the original anaesthesia project, patients drunk the Chinese medicine Guishen Pain-Killer 50ml which was heated to 40℃ by microwave stove for pre-anaesthesia drug 10 minutes before the operation. The effect of adding drinking Guishen Pain-Killer and of merely using the original anaesthesia project were estimated with the McGill Questionnaire and stated the data with u test.ResultsThe pain estimation of those patients who drunk Guishen Pain-Killer before operation was (1.71±1.05) and (1.32±0.83), in operation and just after operation,while that of patients who didn't drink Guishen Pain-Killer before operation was (2.58±1.03) and (1.93±1.11),P0.01.ConclusionGuishen Pain-Killer can be used as the pre-anaesthesia drug in micro-wave heating among tissue to treat hemorrhoids.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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.

Study designBench or experimental
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
Published2003
Admission routes1
Has abstractyes

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