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Disruption of Circadian Rhythms and Sleep on Critical Illness and the Impact on Cardiovascular Events

2015· review· en· W2294308719 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

VenueCurrent Pharmaceutical Design · 2015
Typereview
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCircadian rhythmSleep (system call)Dark therapyChronobiologyMedicineNeurosciencePhysiologyPsychologyEndocrinologyComputer science

Abstract

fetched live from OpenAlex

The cardiovascular system exhibits significant daily rhythms in physiologic processes (heart rate, blood pressure, cardiac contractility and function), and molecular gene and protein expression. An increasing number of clinical and experimental studies demonstrate the circadian system is an important underlying mechanism that coordinates these rhythmic processes for the health of the cardiovascular system. However, what happens when rhythms are disturbed has been generally clinically unappreciated. Here we describe the profound adverse impact of disturbed circadian rhythms and sleep on the cardiovascular system, including recovery from myocardial infarction in acute care settings, shift work and heart disease, sleep disorders including obstructive sleep apnea, and cardiovascular pathophysiology associated with disturbed nocturnal blood pressure profiles. We also discuss therapeutic applications of circadian rhythms for the cardiovascular system. Cardiovascular disease is a leading cause of death worldwide, and applying circadian biology to cardiology (and indeed medicine in general) provides a new translational approach to benefit patients clinically.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.210
GPT teacher head0.445
Teacher spread0.235 · 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