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Record W2095770346 · doi:10.1093/eurheartj/sui085

Does pharmacologically induced weight loss improve cardiovascular outcome? Sibutramine pharmacology and the cardiovascular system

2005· article· en· W2095770346 on OpenAlexaff
Arya M. Sharma

Bibliographic record

VenueEuropean Heart Journal Supplements · 2005
Typearticle
Languageen
FieldMedicine
TopicPharmacology and Obesity Treatment
Canadian institutionsMcMaster UniversityHamilton General Hospital
Fundersnot available
KeywordsSibutramineMedicineWeight lossPharmacologyBlood pressureObesityInternal medicineAnti obesityEndocrinology

Abstract

fetched live from OpenAlex

The serotonin and noradrenaline re-uptake inhibitor, sibutramine, is a widely used anti-obesity drug that promotes weight loss by increasing satiety, although a mild increase in energy expenditure may also contribute. Noradrenaline re-uptake inhibition with sibutramine in peripheral tissues could theoretically exacerbate arterial hypertension through an increase in synaptic noradrenaline concentrations. This has led to a widespread perception that sibutramine contributes to hypertension and should not be used in patients at high risk of cardiovascular disease. However, neither published trials nor post hoc re-analysis of randomized trial data support this notion; the incidence of sustained blood pressure (BP) increase with sibutramine is not significantly different from control. Indeed, post-marketing surveillance data suggest a significant decrease in BP with sibutramine in obese hypertensives. The biological basis of this effect is underpinned by detailed consideration of adrenergic receptor pharmacology and confirmed by mechanistic studies.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.027
GPT teacher head0.312
Teacher spread0.285 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2005
Admission routes1
Has abstractyes

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