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Physician Practice Patterns in the Treatment of Isolated Systolic Hypertension in a Primary Care Setting

2002· article· en· W2056267617 on OpenAlexfundno aff
Jeff Borenstein, Joanna L. Whyte, Enkhe Badamgarav, Delia Vogel, Stephen I. Deutsch, Scott Weingarten, Pablo Lapuerta

Bibliographic record

VenueJournal of Clinical Hypertension · 2002
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
FundersUniversity of AlbertaBristol-Myers Squibb
KeywordsMedicineBlood pressureIsolated systolic hypertensionAmbulatory blood pressureSystolic hypertensionAmbulatoryPrimary careMedical recordPrimary care physicianDiastoleSystoleInternal medicineHypertension treatmentMedical careCardiologyPediatricsEmergency medicineFamily medicine

Abstract

fetched live from OpenAlex

The authors evaluated the treatment of isolated systolic hypertension based on medical record review of charts between 1998 and 1999 in a multispecialty physician practice group. Two age-stratified random samples of ambulatory medical records were examined (393 patients aged > or =65 years and 251 patients aged 50-64 years). The samples corresponded to the practices of 35 primary care physicians who were surveyed about their hypertension care. Isolated systolic hypertension was defined as systolic blood pressure > or =140 mm Hg and diastolic blood pressure <90 mm Hg. Results showed that isolated systolic hypertension represented 76% and 45% of uncontrolled blood pressure in the older and middle-aged samples, respectively. Isolated systolic hypertension was often undiagnosed and untreated. Physicians reported treatment thresholds and goals that were significantly less aggressive for their patients > or =65 years of age. Physician awareness and treatment of isolated systolic hypertension have not yet caught up with consensus guidelines, and older patients may be affected most by this gap.

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)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.095
GPT teacher head0.356
Teacher spread0.261 · 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 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

Citations11
Published2002
Admission routes1
Has abstractyes

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