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Record W1592593178 · doi:10.15537/1658-3175.2863

The epidemic of the metabolic syndrome

2005· article· en· W1592593178 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSaudi Medical Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineObservational studyObesityMetabolic syndromeIncidence (geometry)DiseaseDiabetes mellitusPopulationCross-sectional studyPrevalenceEnvironmental healthPediatricsDemographyGerontologyInternal medicinePathologyEndocrinology

Abstract

fetched live from OpenAlex

The incidence of metabolic syndrome (MS) is rising worldwide. This is partly due to a significant increase in the prevalence of obesity. Observational cross-sectional studies as well as demographic health surveys from the Middle East, point out that the prevalence of obesity increases from an average of 6% in healthy children to 20% in adolescent males and to a further 32% in elderly patients. The impact of obesity on our population is expected to be considerable; especially, as it feeds into further rising in the prevalence of hypertension, diabetes, MS and cardiovascular disease. The prevalence of MS in nondiabetic adults in Europe was recently reported to be 15%. In the Middle East, as pointed out by pilot observational projects, is estimated to be anywhere between 15-25%. The medical system is unprepared to deal with this epidemic partly due to scanty knowledge on the clinical significance of the MS and importantly as there is a limited number of specific treatments that we can offer these patients.

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.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.988
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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