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Record W2090816085 · doi:10.1093/eurheartj/eht332

Does hypoglycaemia increase the risk of cardiovascular events? A report from the ORIGIN trial

2013· article· en· W2090816085 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

VenueEuropean Heart Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsMcMaster University
FundersHjärt-LungfondenAFA FörsäkringHalozymeMannKind CorporationNovo NordiskIntarcia TherapeuticsSanofiPfizerAstraZenecaDaiichi Sankyo EuropeEli Lilly and Company
KeywordsMedicineHazard ratioInternal medicineHypoglycemiaStroke (engine)Myocardial infarctionBasal (medicine)GastroenterologyInsulinConfidence interval

Abstract

fetched live from OpenAlex

AIMS: Hypoglycaemia caused by glucose-lowering therapy has been linked to cardiovascular (CV) events. The ORIGIN trial provides an opportunity to further assess this relationship. METHODS AND RESULTS: A total of 12 537 participants with dysglycaemia and high CV-risk were randomized to basal insulin glargine titrated to a fasting glucose of ≤ 5.3 mmol/L (95 mg/dL) or standard glycaemic care. Non-severe hypoglycaemia was defined as symptoms confirmed by glucose ≤ 54 mg/dL and severe hypoglycaemia as a requirement for assistance or glucose ≤ 36 mg/dL. Outcomes were: (i) the composite of CV death, non-fatal myocardial infarction or stroke; (ii) mortality; (iii) CV mortality; and (iv) arrhythmic death. Hazards were estimated before and after adjustment for a hypoglycaemia propensity score. During a median of 6.2 years (IQR: 5.8-6.7), non-severe hypoglycaemic episodes occurred in 41.7 and 14.4% glargine and standard group participants, respectively, while severe episodes occurred in 5.7 and 1.8%, respectively. Non-severe hypoglycaemia was not associated with any outcome following adjustment. Conversely, severe hypoglycaemia was associated with a greater risk for the primary outcome (HR: 1.58; 95% CI: 1.24-2.02, P < 0.001), mortality (HR: 1.74; 95% CI: 1.39-2.19, P < 0.001), CV death (HR: 1.71; 95% CI: 1.27-2.30, P < 0.001) and arrhythmic death (HR: 1.77; 95% CI: 1.17-2.67, P = 0.007). Similar findings were noted for severe nocturnal hypoglycaemia for the primary outcome and mortality. The severe hypoglycaemia hazard for all four outcomes was higher with standard care than with insulin glargine. CONCLUSION: Severe hypoglycaemia is associated with an increased risk for CV outcomes in people at high CV risk and dysglycaemia. Although allocation to insulin glargine vs. standard care was associated with an increased risk of severe and non-severe hypoglycaemia, the relative risk of CV outcomes with hypoglycaemia was lower with insulin glargine-based glucose-lowering therapy than with the standard glycaemic control. Trial Registration (ORIGIN ClinicalTrials.gov number NCT00069784).

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.294
Teacher spread0.257 · 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