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Record W2483239036 · doi:10.1097/mbp.0000000000000201

Elevated blood pressure is not equal to hypertension

2016· letter· en· W2483239036 on OpenAlexaff
Magali Leyvraz, Pascal Bovet, Arnaud Chioléro

Bibliographic record

VenueBlood Pressure Monitoring · 2016
Typeletter
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsMcGill University
FundersScience and Engineering Research Board
KeywordsMedicineUniversity hospitalEpidemiologyBiostatisticsBlood pressureGerontologyFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

In a recent issue of blood pressure monitoring, Maric et al. reported the results of an interesting study in which blood pressure was measured in 780 children between 7 and 17 years of age in two schools of the district of Vozdovac of Belgrade, Serbia. The authors reported a prevalence of elevated blood pressure of 10.5% and concluded that there was a high prevalence of hypertension in (this) sample of schoolchildren'. In this commentary, we would like to stress the importance of distinguishing elevated blood pressure from hypertension. Hypertension is a state of sustained elevated blood pressure. This means that blood pressure must be elevated on repeated occasions for the diagnosis of hypertension Individuals with high blood pressure at one visit, however, generally have lower blood pressure levels at subsequent visits because of familiarization with the measurement procedure and a regression to the mean effect. Therefore, if blood pressure is high at an initial visit, it is necessary to measure blood pressure at other visits to confirm or exclude hypertension. According to the guidelines of the National High Blood Pressure Education Program Working Group on Children and Adolescents, elevated blood pressure must be confirmed on at least three visits before characterizing a child as having hypertension'. It is also recommended to have blood pressure measured at more than one visit for the diagnosis of hypertension in adults.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.049
GPT teacher head0.276
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2016
Admission routes1
Has abstractyes

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