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Record W2156664585 · doi:10.1586/14779072.2014.897227

Do nitric oxide-releasing drugs offer a potentially new paradigm for the management of cardiovascular risks in diabetes?

2014· editorial· en· W2156664585 on OpenAlexafffund
Atul Bhardwaj, Jatinder Kaur, Frank Wuest, Edward E. Knaus

Bibliographic record

VenueExpert Review of Cardiovascular Therapy · 2014
Typeeditorial
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsMedicineNitric oxideDiabetes mellitusEndothelial dysfunctionPharmacologyIntensive care medicineBioinformaticsInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Cardiovascular complications are frequently observed in diabetic patients and are mostly caused by endothelial dysfunction associated with a decline in biosynthesis of nitric oxide (NO). In response to this concern, a remarkable increase in the interest for development of NO-releasing hybrid drugs has been observed. The NO-donating entity was linked to known drugs with the belief that NO is a vasorelaxant and an inhibitor of platelet aggregation or reduces thrombotic events. Many of these NO-releasing hybrid drugs have shown significant improvement in cardiovascular safety. In this editorial the potential roles of NO-releasing drugs for the treatment of cardiovascular complications in diabetes will be discussed.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.012
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.310
Teacher spread0.289 · 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.

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

Citations3
Published2014
Admission routes2
Has abstractyes

Explore more

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