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Record W3107269420 · doi:10.1097/md.0000000000023137

Hypertension in adolescents and young adults referred to a tertiary hypertension clinic in Cape Town, South Africa

2020· article· en· W3107269420 on OpenAlexaff
Erika Jones, Ilhaam Esack, Phetho Mangena, Brian Rayner

Bibliographic record

VenueMedicine · 2020
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsMedicineFamily historyObesityBody mass indexLeft ventricular hypertrophySecondary hypertensionDiabetes mellitusCohortMetabolic syndromePediatricsKidney diseaseInternal medicineDiseaseBlood pressureEndocrinology

Abstract

fetched live from OpenAlex

To audit the young patients referred to the Hypertension Clinic at Groote Schuur Hospital that predominately serves the underprivileged communities of Cape Town.Folders of patients between the ages of 15 and 30 years over a 2 year period were reviewed. The data collected included demographic, clinical and laboratory data, investigations, causes of hypertension, and presence of hypertensive organ damage.Of the 110 patients reviewed, 61 (55.5%) were females, 22 (20%) Black African, and 88 (80%) of Mixed Ancestry. Eight (7.3%) were found to be normotensive, 16 (14.5%) had a secondary cause and 86 (78.2%) had essential hypertension. Thirty five (31.8%) were current or previous smokers, and 11 (10%) admitted to current or prior use of metamphetamines. A family history of hypertension in a first degree relative was present in 80 (72.7%) patients. Comorbidities present were diabetes in 7 (6.4%) patients, metabolic syndrome in 13 (11.8%), and obesity in 26 (23.6%), but 42.6% had a body mass index (BMI) <25 kg/m. Chronic kidney disease (CKD) was present in 29 (26.4%) patients and ECG left ventricular hypertrophy in 56 (50.9%). Overall organ damage was present in 72 (65.5%) patients.In this cohort of young hypertensives most patients had essential hypertension with a strong family history. Significant organ damage was identified. High risk behavior, including smoking and illicit drug use, and obesity were identified as contributing factors. Secondary causes were identified in 14.2%. These results suggest a targeted approach to the investigation of young hypertensives for secondary causes, and significant opportunities for lifestyle intervention.

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)0.001
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 score0.057
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.059
GPT teacher head0.286
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; 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

Citations17
Published2020
Admission routes1
Has abstractyes

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