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Effect of Chronic Administration of Hydromethanol Leaf Extract of Helianthus annuus on Erythrocytic Profile in Normal Rats

2017· article· en· W2736354090 on OpenAlexvenueno aff
Samuel O. Onoja, Samuel C. Udem, Aruh O. Anaga

Bibliographic record

VenueJournal of Nutritional Therapeutics · 2017
Typearticle
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHelianthus annuusHemoglobinInternal medicineSunflowerBody weightAnimal scienceChemistryMedicineBiologyHorticulture

Abstract

fetched live from OpenAlex

Effect of chronic administration of hydromethanol leaf extract of Helianthus annuus on erythrocytic profile in normal rat was investigated. The extract was prepared using cold maceration method and concentrated at 40˚C. It was incorporated in feed at 2.5, 5 and 10 mg per 100 g feed. Albino rats were randomly assigned to 4 (A – D) groups of 14 rats each. Group A received standard feed while groups B – D received feed incorporated with H. annuus at 2.5, 5 and 10 mg/10 g feed, respectively. They were fed 10% of their body weight daily for 90 consecutive days. Blood samples were collected via retroorbital venous plexus from four rats selected at random from each group without replacement on day 30, 60 and 90 for the determination of erythrocytic profile. There was no significant (p > 0.05) change on the erythrocytic profile of the various groups on day 30 and 60 while the packed cell volume and hemoglobin concentration of H. annuus treated groups were significantly (p < 0.05) lower than group A rats on day 90. This study suggests that the chronic use of Helianthus annuus for up to 90 days in rat may lead to anemia and should be avoided.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.030
GPT teacher head0.347
Teacher spread0.317 · 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 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

Citations5
Published2017
Admission routes1
Has abstractyes

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