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Lorcaserin and Renal Outcomes in Obese and Overweight Patients in the CAMELLIA-TIMI 61 Trial

2019· article· en· W2900337029 on OpenAlexaff
Benjamin M. Scirica, Erin A. Bohula, Jamie P. Dwyer, Arman Qamar, Silvio E. Inzucchi, Darren K. McGuire, Anthony Keech, Steven R. Smith, Sabina A. Murphy, Lawrence A. Leiter, Milan Gupta, Tushar Patel, Wenfeng Miao, Carlos Perdomo, Marc P. Bonaca, Christian T. Ruff, Marc S. Sabatine, Stephen D. Wiviott

Bibliographic record

VenueCirculation · 2019
Typearticle
Languageen
FieldMedicine
TopicPharmacology and Obesity Treatment
Canadian institutionsMcMaster UniversitySt. Michael's Hospital
Fundersnot available
KeywordsMedicineAlbuminuriaInternal medicineRenal functionHazard ratioKidney diseaseCreatinineBlood pressureUrologyEndocrinologyConfidence interval

Abstract

fetched live from OpenAlex

Background: Obesity is thought to increase renal hyperfiltration, thereby increasing albuminuria and the progression of renal disease. The effect of pharmacologically mediated weight loss on renal outcomes is not well-described. Lorcaserin, a selective serotonin 2C receptor agonist that promotes appetite suppression, led to sustained weight loss without any increased risk for major adverse cardiovascular (CV) events in the CAMELLIA-TIMI 61 trial (Cardiovascular and Metabolic Effects of Lorcaserin in Overweight and Obese Patients-Thrombolysis in Myocardial Infarction 61). Methods: CAMELLIA-TIMI 61 randomly assigned 12 000 overweight or obese patients with or at high risk for atherosclerotic CV disease to lorcaserin or placebo on a background of lifestyle modification. The primary renal outcome was a composite of new or worsening persistent micro- or macroalbuminuria, new or worsening chronic kidney disease, doubling of serum creatinine, end-stage renal disease, renal transplant, or renal death. Results: At baseline, 23.8% of patients had an estimated glomerular filtration rate (eGFR) <60 mL·min −1 ·1.73 m −2 and 19.0% had albuminuria (urinary albumin:creatinine ratio ≥30 mg/g). Lorcaserin reduced the risk of the primary renal composite outcome (4.2% per year versus 4.9% per year; hazard ratio [HR], 0.87; 95% confidence interval [CI], 0.79–0.96; P =0.0064). The benefit was consistent across subpopulations at increased baseline CV and renal risk. Lorcaserin improved both eGFR and urinary albumin:creatinune ratio within the first year after randomization. The effect of lorcaserin on weight, hemoglobin A1c, and systolic blood pressure was consistent regardless of baseline renal function. Likewise, there was no excess in cardiovascular events in patients assigned to lorcaserin in comparison with placebo, regardless of renal function. After adjustment for baseline characteristics, those with evidence of kidney disease were at increased risk of major CV events. Compared with patients with an eGFR ≥90 mL·min −1 ·1.73 m −2 , those with an eGFR 60-90 and those <60 mL·min −1 ·1.73 m–2 had HRs of 1.25 (95% CI, 1.01, 1.56) and 1.51 (95% CI, 1.17, 1.95), respectively ( P for trend 0.0015). Likewise, compared with patients with no albuminuria (<30 mg/g), those microalbuminuria and those with macroalbuminuria had HRs of 1.46 (95% CI, 1.22, 1.74) and 2.10 (95% CI, 1.58, 2.80), respectively ( P for trend <0.0001). Conclusions: Renal dysfunction was associated with increased CV risk in overweight and obese patients. When added to diet and lifestyle, lorcaserin reduced the rate of new-onset or progressive renal impairment in comparison with placebo. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT02019264.

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 score0.026
Threshold uncertainty score0.161

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 head0.014
GPT teacher head0.284
Teacher spread0.270 · 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".

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Citations35
Published2019
Admission routes1
Has abstractyes

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