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Record W4214618512 · doi:10.53350/pjmhs22161820

Evaluation of Antidiabetic Effect of Silybum marianum and Cichorium intybus extracts

2022· article· en· W4214618512 on OpenAlexaff
Asma Arshad, Saima Pervaiz, Anila Errum, Amina Mahmood, Hira Asghar, Sadia Maqsood, Saba Shamim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSilymarin and Mushroom Poisoning
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsSilybum marianumCichoriumMilk ThistleTraditional medicineDiabetes mellitusContext (archaeology)Blood sugarMedicineBiologyBotanyEndocrinology

Abstract

fetched live from OpenAlex

Enormous efforts have recognized the importance of analyzing plant extracts for possible medical applications. In this context, Kasni (C. intybus) and Milk thistle (S. marianum), cultivated in Asia, were used to determine diabetes mellitus control. Ethanol extracts of both plants were used after induction of diabetes mellitus in rabbits (with STZ). Blood glucose was measured by the glucose oxidase method. After treatment of the injured pancreas for 60 days, Kasni and Milk thistle showed a decrease in the elevated levels of blood sugar. The coalesce effect of both plants is more than the individual plants whereas Milk thistle has demonstrated a better control than Kasni. To conclude, C. intybus and S. marianum play a positive role in controlling diabetes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.964

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)0.0010.000

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 head0.019
GPT teacher head0.306
Teacher spread0.288 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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