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Record W3117505203 · doi:10.1155/2020/6659166

Association between Cardiac Autonomic Neuropathy and Coronary Artery Lesions in Patients with Type 2 Diabetes

2020· article· en· W3117505203 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDisease Markers · 2020
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
FundersNational Natural Science Foundation of China
KeywordsMedicineAutonomic neuropathyInternal medicineCardiologyDiabetes mellitusType 2 diabetesCoronary artery diseaseArteryAssociation (psychology)EndocrinologyBiologyGeneticsPsychology

Abstract

fetched live from OpenAlex

Objective. Cardiac autonomic neuropathy (CAN) is a common and serious complication of diabetes mellitus with various systemic involvements, such as atherosclerotic cardiovascular disease. We aimed to evaluate the association between CAN and coronary artery lesions in patients with type 2 diabetes. Research Design and Methods. We retrospectively reviewed the medical records of 104 patients with type 2 diabetes and coronary artery disease (CAD). We evaluated heart rate variability (HRV) parameters (SDANN, SDNN, and pNN50) to assess cardiac autonomic function. The severity of coronary lesions was assessed by the Gensini scores and the number of affected vessels. Correlation analyses between HRV parameters and the severity of coronary lesions and clinical parameters were performed. Results. Spearman’s correlation analysis showed a significant negative correlation between SDANN and Gensini scores ( <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"><a:mi>r</a:mi><a:mo>=</a:mo><a:mo>−</a:mo><a:mn>0.22</a:mn></a:math> , <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" id="M2"><c:mi>P</c:mi><c:mo>=</c:mo><c:mn>0.03</c:mn></c:math> ). Interestingly, this finding remained significant after adjusting for clinical covariates ( <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" id="M3"><e:mi>r</e:mi><e:mo>=</e:mo><e:mo>−</e:mo><e:mn>0.23</e:mn></e:math> , <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" id="M4"><g:mi>P</g:mi><g:mo>=</g:mo><g:mn>0.03</g:mn></g:math> ). However, there was no association between HRV parameters and the severity of coronary lesions as assessed by the number of affected vessels. Clinical parameters were not significantly correlated with HRV parameters (all <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" id="M5"><i:mi>P</i:mi><i:mo>&gt;</i:mo><i:mn>0.05</i:mn></i:math> ). Conclusions. Cardiac autonomic neuropathy might be related to the degree of coronary atheromatous burden in patients with type 2 diabetes. Screening for cardiac autonomic neuropathy might potentially be beneficial in the risk stratification of patients with type 2 diabetes.

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.

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 score0.006
Threshold uncertainty score0.365

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 head0.008
GPT teacher head0.198
Teacher spread0.190 · 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