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Cellular Mechanisms of Saline Extract of Alligator Pepper (Zingiberaceae Aframomum melegueta) for Specific Protection against Preeclampsia

2014· article· en· W4229619185 on OpenAlexvenueno aff
Ute Inegbenebor, Maureen Ebomoyi

Bibliographic record

VenueJournal of Nutritional Therapeutics · 2014
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
Fundersnot available
KeywordsPreeclampsiaAlligatorMedicinePregnancyZingiberaceaePepperProteinuriaObstetricsLitterTraditional medicineBiologyInternal medicineFood science

Abstract

fetched live from OpenAlex

Preeclampsia is a clinical syndrome defined as the new onset of hypertension and proteinuria during the second half of pregnancy. Though it is easily diagnosed clinically, affected persons must book in a health service facility for the diagnosis to be made. Furthermore regular screening is necessary during several antenatal visits and skilled attendant’s supervised labor before diagnosis can be made. Predictive tests are not yet well developed and not readily available in developing countries and medically underserved areas where they are needed most. There is therefore a need for specific protection against preeclampsia to be developed. This will ensure that all women are protected even when they choose not to visit an antenatal clinic. Specific protection is potentially capable of preventing preeclampsia in 5 % to 7% of pregnant women, the proportion of pregnant women that are affected by preeclampsia worldwide. This article builds on a previous article on the study of the cellular mechanisms underlying gestational weight gain and litter weight reduction effect of aqueous extract of Alligator pepper and attempts to analyze how the anti-hyperinsulinemic property of the constituents of Alligator pepper in that study can also prevent preeclampsia and suggests the use of some of the constituents of alligator pepper as specific protection (vaccine) for the prevention of preeclampsia.

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: none
Teacher disagreement score0.485
Threshold uncertainty score0.669

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 head0.050
GPT teacher head0.281
Teacher spread0.231 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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