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¿Evaluamos y controlamos adecuadamente a los hipertensos atendidos en atención primaria?: Estudio HICAP

2007· article· es· W2099819711 on OpenAlexaff
E. Márquez Contreras, B. de Rivas Otero, J.A. Divisón, E. Blázquez, M. Luque Otero

Bibliographic record

VenueAnales de Medicina Interna · 2007
Typearticle
Languagees
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsCentre Casa
Fundersnot available
KeywordsMedicineBlood pressureDiabetes mellitusInternal medicinePrimary careLipid profilePediatricsEndocrinologyFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The HICAP study assessed the cardiovascular (CV) global risk and the CV risk factors control in hypertensive patients managed in Primary Care (PC) in Spain. METHODS: Cross-sectional and multilocated study in which each investigator included data from 5 consecutives hypertensive patients. A routine laboratory test and a ECG from the previous 6 months had to be available for each patients CV global risk evaluation, blood pressure (BP) and diabetes control was based on ESH-ESC 2003; lipid profile evaluation was based on NCEP 2001 (ATP III) RESULTS: 1288 PC physicians included 6719 hypertensive patients, and data from 6375 patients were analyzed.64.5% (CI95%: 63.3-65.7) of the hypertensive patients managed in Primary Care showed a high or very high CV global risk.BP was controlled in 39.3% (CI95%: 38.1-40.5) of patients, 10.5% (CI95%: 9.1-11.9)among diabetics. 37.3% (CI95%: 35-38.7) of diabetics showed HbA1c < 6.5% and 18.8% (CI95%: 17.6-20) of dyslipidemic subjects had their LDL-c controlled. The control was lower among the patients at higher CV global risk. CONCLUSIONS: These results demostrate the high proportion of hypertensive patients that present a high CV global risk. The cardiovascular risk factors control, specially among patients at higher CV global risk, is insufficient.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.309
Teacher spread0.289 · 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.

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

Citations16
Published2007
Admission routes1
Has abstractyes

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