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Abstract 24082: A Combined Basic Science and PopulationScience Approach Demonstrating the Potential for Simvastatin to MitigateCardiovascular Disease after Lower Hemi Body Radiotherapy

2017· article· en· W2769043247 on OpenAlexaff
Jessica Olson, Reiauna Taylor, Rodney Sparapani, Marek Lenarczyk, John E. Baker

Bibliographic record

VenueCirculation · 2017
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsStuart Olson (Canada)
Fundersnot available
KeywordsMedicineSimvastatinInternal medicineRadiation therapyHeart failureCardiologyCancerOverweightMyocardial infarctionDiabetes mellitusHeart diseaseDiabetic cardiomyopathyCardiomyopathyGastroenterologyBody mass indexEndocrinology

Abstract

fetched live from OpenAlex

Radiation is a cornerstone of successful cancer treatment, with one-half to two-thirds of all patients receiving radiotherapy. Survivors of cancer treated with radiation are at increased risk for cardiovascular disease (CVD). Understanding how radiation causes CVD will allow development of novel therapies. Irradiation of the lower hemi body, but not the upper hemi body, with 10 Gy in rats increases risk factors for CVD and results in cardiac fibrosis quantitatively similar to total body irradiation, suggesting radiation injury to the heart can be indirect. Simvastatin, an inhibitor of liver cholesterol synthesis administered continuously to rats (10 mg/kg/day) after 10 Gy lower hemi body irradiation mitigated against increased blood cholesterol and cardiac fibrosis. These findings indicate simvastatin limits transmission of a signal from the lower hemi body that decreases risk for and occurrence of CVD independent of any direct exposure of the heart to radiation. Bivariate examination of 3,607 patients following therapeutic lower hemi body irradiation using Chi-square, Wilcoxon rank-sum and t-tests was used to examine risk factors for CVD in patients diagnosed with congestive heart failure, myocardial infarction, atrial fibrillation, and cardiomyopathy before 80 years of age. We found that 47.4% of patients age 70-80 developed CVD compared to 29.7% who received simvastatin (p= < 0.001, n = 293 and 361, respectively). Patients who were male, overweight, smokers, and had a diagnosis of chronic kidney disease and diabetes also had significantly higher risk of CVD. Race and hypertension were not indicative of increased risk for CVD. These clinical findings, taken together with the results from our animal studies, support a new research paradigm where radiation-induced heart disease can be indirect, with abdominal organs exporting factors that cause CVD. Simvastatin can be developed to mitigate and treat CVD after therapeutic radiation.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.274
Teacher spread0.258 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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