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Record W4372348619 · doi:10.30574/wjarr.2023.18.2.0803

Ethnopharmacological characteristics of Piper umbellatum L. (Piperaceae), a plant used in the traditional treatment of three neglected tropical diseases in Côte d'Ivoire

2023· article· en· W4372348619 on OpenAlexfundno aff
Kouadio Béné

Bibliographic record

VenueWorld Journal of Advanced Research and Reviews · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPiperaceae Chemical and Biological Studies
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsPiperPiperaceaeOnchocerciasisCote d ivoireTraditional medicineBiologyBotanyMedicinal plantsMedicine

Abstract

fetched live from OpenAlex

A recent ethnomedicinal survey, conducted in ten Health Districts of Côte d'Ivoire, revealed Piper umbellatum L. (Piperaceae) as a plant used in the traditional treatment of lymphatic filariasis, onchocerciasis and schistosomiasis. The present study aims to highlight the distinctive ethnopharmacological characteristics of Piper umbellatum. The aim was to identify some groups of chemical compounds by thin layer chromatography, to assay some minerals and finally to characterise the specific anatomical and micrographic features of the plant. Terpenes and sterols, saponosides, flavonoids and tannins are the main phytocompounds revealed. Magnesium with 748.3 mg/100 g dry matter is the most abundant mineral. Anatomical sections and plant powder revealed starch grains, secretory pockets and tectorial hairs that are responsible for the formation of various biological substances in the plant. These results add to the data on Piper umbellatum, a taxon much used in traditional Ivorian medicine for the treatment of three filarial NTDs (lymphatic filariasis, onchocerciasis and schistosomiasis).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.417
GPT teacher head0.492
Teacher spread0.074 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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