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Record W2898830245 · doi:10.1016/j.jacbts.2018.07.004

Cardiac-Referenced Leukocyte Telomere Length and Outcomes After Cardiovascular Surgery

2018· article· en· W2898830245 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJACC Basic to Translational Science · 2018
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsWestern UniversityLondon Health Sciences CentreRobarts Clinical Trials
FundersCanadian Institutes of Health ResearchCryoLifeLawson Health Research InstituteAbbott VascularBoston Scientific CorporationHeart and Stroke Foundation of Canada
KeywordsTelomereMedicineCardiac surgeryCardiologyInternal medicineBiologyGeneticsDNA

Abstract

fetched live from OpenAlex

Short leukocyte telomeres have been associated with adverse cardiovascular outcomes in population studies, but this relationship has not translated to patient care. The authors report a telomere length autologous referencing strategy that has the potential to mark biological aging and to identify high-risk individuals. Among 163 patients who underwent cardiovascular surgery, telomeres in leukocytes and skeletal muscle displayed age-related shortening, whereas the telomere length in the cardiac right atrium was stable during 6 decades of life. The magnitude of the telomere length gap between cardiac atrial tissue and leukocytes was associated with postoperative complications and length of stay in the intensive care unit. This study provided proof of concept that a single-time, internally referenced assessment of leukocyte telomere shortening behavior could inform acute risks in patients with cardiovascular disease.

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)0.001
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 score0.112
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.023
GPT teacher head0.270
Teacher spread0.247 · 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