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Record W4407270797 · doi:10.36713/epra20074

PAEDIATRIC HYPERTENSION: ROLE IN GENETICS

2025· article· en· W4407270797 on OpenAlexaboutno aff
N Patel

Bibliographic record

VenueEPRA International Journal of Multidisciplinary Research (IJMR) · 2025
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedical geneticsGeneticsMedicineBiologyGene

Abstract

fetched live from OpenAlex

This essay reviews the genetic basis for both essential hypertension and normal blood pressure. There have been cases of familial aggregation of normal blood pressure in adults, children, and even new-borns. But the phenomena of blood pressure aggregation are a combination of shared environmental and hereditary elements. The investigations of blood pressure aggregation in twins and adopted kids were more specific for each etiological component. The Montreal Adoption Study was the centre of attention. Japanese research demonstrating the incidence of hypertension in children of hypertensive parents is reviewed in essential hypertension. The heterogeneity of essential hypertension is highlighted, and two of the several etiological factors the response to salt consumption and erythrocyte cation fluxes are specifically considered for their hereditary component. According to the assessment of the literature, essential hypertension is a polygenic illness that is spread through polygenic systems. KEYWORDS: Blood Pressure, Hereditary, Hypertension, Illness, Genetics

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.077
GPT teacher head0.429
Teacher spread0.352 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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