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Record W2565860181 · doi:10.1111/jch.12955

Secular trends in blood pressure in children: A systematic review

2016· review· en· W2565860181 on OpenAlexaff
Céline Roulet, Pascal Bovet, Thomas Brauchli, Umberto Siméoni, Bo Xi, Valérie Santschi, Gilles Paradis, Arnaud Chioléro

Bibliographic record

VenueJournal of Clinical Hypertension · 2016
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsOverweightMedicineSecular variationObesityDemographyBlood pressureChildhood obesityBody mass indexEnvironmental healthPediatricsGerontologyEndocrinology

Abstract

fetched live from OpenAlex

Blood pressure (BP) is expected to have increased over time in children in most countries due to the increasing prevalence of childhood obesity worldwide. The authors conducted a systematic review of studies assessing secular trends in BP in children and adolescents. Of 1739 citations screened, the authors identified 18 studies including 2 042 470 participants examined between 1963 and 2012. Thirteen studies were conducted in high-income countries, five in middle-income countries, and none in low-income countries. The prevalence of overweight or obesity increased in 17 studies and decreased in one study. BP decreased over time in 13 studies, increased in four, and did not change in one. These findings suggest that secular trends in BP do not mirror secular trends in overweight. This implies that other factors mitigate the effect of overweight on BP in children and adolescents.

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)0.004
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0080.010
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.108
GPT teacher head0.416
Teacher spread0.308 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations58
Published2016
Admission routes1
Has abstractyes

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