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In vivo antidiarrheal activity evaluation of the seeds of Sorghum bicolor L. (Poaceae)

2016· article· en· W2558222391 on OpenAlexvenueno aff
Zelalem Hunegnaw, Gelayee Dessalegn Asmelashe, Zewdneh Shewamene Sabe

Bibliographic record

VenueDiscovery Phytomedicine - Journal of Natural Products Research and Ethnopharmacology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsFecesPhytochemicalSorghumCastor oilIn vivoDiarrheaTerpenoidTraditional medicineBioassaySorghum bicolorBiologyPoaceaeBotanyAnimal scienceChemistryFood scienceMedicineAgronomyMicrobiologyBiotechnologyBiochemistryInternal medicine

Abstract

fetched live from OpenAlex

The seeds of Sorghum bicolor (Family: Poaceae) have been used traditionally for treatment of diarrhea but its efficacy needs to be evaluated. This study was carried out to evaluate the in vivo antidiarrheal activity of 80% methanol crude extract of the seeds of locally grown S.bicolor. This screening was conducted at 100mg/kg, 200mg/kg and 400mg/kg extract doses by using three standard methods of bioassay: castor oil-induced diarrhea, castor oil-induced enteropooling and castor oil-induced gastrointestinal transit tests. Depending on the model, data on the onset of defecation, number of wet feces, total number of feces, weight of intestinal fluid as well as length of intestinal transit were collected. In addition, preliminary phytochemical and acute toxicity studies were conducted. The presence of phenols, flavonoids, tannins, terpenoids and sterols in the extract was confirmed. On the other hand, the oral median lethal dose (LD50) of the extract was estimated to be higher than 2000mg/kg. The 200mg/kg and 400mg/kg extract doses especially demonstrated a very significant (P

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.087
GPT teacher head0.381
Teacher spread0.294 · 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 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

Citations7
Published2016
Admission routes1
Has abstractyes

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