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Record W2616741791 · doi:10.2223/jped.1690

C-reactive protein as an indicator of low intensity inflammation in children and adolescents with and without obesity

2007· article· en· W2616741791 on OpenAlexaff
Adriana R. Brasil, Rocksane C. Norton, Márcia Braz Rossetti, Ênnio Leão, Ricardo Mendes

Bibliographic record

VenueJornal de Pediatria · 2007
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineNephelometryOverweightObesityC-reactive proteinBody mass indexInternal medicineStatistical significanceEndocrinologyInflammationGastroenterologyImmunology

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine the levels of high sensitivity C-reactive protein (hsCRP) in children/adolescents with and without obesity and their correlation with body mass index (BMI) and clinical and laboratory variables. METHODS: A cross-sectional study comparing two parallel groups, one a group of overweight or obese children/adolescents (obesity group, n = 131) and the other a control group of children/adolescents without obesity (control group, n = 114). High sensitivity nephelometry was used to determine hsCRP concentrations. RESULTS: The obesity group exhibited greater hsCRP concentrations than the control group (p < 0.0005). There were relationships between hsCRP and BMI (p < 0.0001) and hsCRP and triglycerides (p = 0.05). The relationship between hsCRP and triglycerides was attenuated by adjustment for BMI, losing its statistical significance (p = 0.10). CONCLUSIONS: The hsCRP concentrations increased as BMI increased. The majority of individuals who were not overweight exhibited hsCRP concentrations of less than 2 mg/L.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.242
Teacher spread0.238 · 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 designObservational
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

Citations63
Published2007
Admission routes1
Has abstractyes

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