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Record W4390789418 · doi:10.14293/pr2199.000633.v1

Effect of Repeated Dose Administration of Ethanolic Extract of Bosweillia dalzielii Stem Bark on Haematological Parameters of Normoglycaemic and Alloxan Induced Hyperglycaemic Albino Rats 

2024· preprint· en· W4390789418 on OpenAlexaff
Ubong Etteh

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicPharmacological Effects of Medicinal Plants
Canadian institutionsHeritage College
Fundersnot available
KeywordsAlloxanDiabetes mellitusWhite blood cellMedicineTraditional medicineGlibenclamidePharmacologyInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Boswelia dalzielii (family Burseraceae) is the West African species of the frankincense producing genres. Its ethnomedicinal applications include the treatment of emesis, heart diseases, leprosy and diabetes mellitus. Ethanolic extract of the plant was investigated for their anti-hyperglycaemic properties and their effect on haematological parameters of normglycemic and alloxan-induced hyperglycaemic albino rats. The study showed a statistically significant P<0.05) reduction of blood glucose concentration in the diabetic experimental animals proceeding from day 2 through day 7 of extract administration and in the normoglycemic (non-diabetic) rats starting from day 5 through day 7. Assessment of the ethanolic extract of the plant on haematological parameters showed significant (p<0.05) reduction in circulating RBC, Hb, MCH and MCHC but an increase in MCV of the hyperglycaemic rats. Total white blood cell (WBC) count and monocyte (MONO) decreased significantly (p<0.05) while lymphocyte increased significantly |p<0.05) astreatment progressed. The result of the present study suggests that ethanolic extract of B . dalzielii possess antihyperglycaemic properties. However, while the plant may be useful for the treatment of diabetes mellitus, it has been shown to educe the number of circulating red blood cells, haemoglobin and white blood cells in diabetic animals.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.042
GPT teacher head0.355
Teacher spread0.313 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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