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Record W2132533514 · doi:10.1177/1479164109341689

Cardiovascular disease markers in type 2 diabetes: the effects of a moderate home-based exercise training programme

2009· article· en· W2132533514 on OpenAlexaff
Celena Scheede‐Bergdahl, David B. Olsen, Danny Reving, Robert Boushel, Flemming Dela

Bibliographic record

VenueDiabetes and Vascular Disease Research · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsConcordia University
FundersNordea-fondenAase og Ejnar Danielsens Fond
KeywordsMedicineRowingInternal medicineDiabetes mellitusVO2 maxBiomarkerType 2 Diabetes MellitusDiseaseType 2 diabetesPhysical therapyInsulin sensitivityInsulinEndocrinologyInsulin resistanceBlood pressureHeart rate

Abstract

fetched live from OpenAlex

UNLABELLED: Patients with T2DM have an increased risk of CVD. Prevention of CVD represents the major goal of all treatment of T2DM, and early intervention in those patients at particularly high risk is important.We measured the insulin sensitivity and plasma biomarkers of CVD to determine whether a home-based exercise training program improves biomarker levels and insulin sensitivity. Patients with T2DM (n=12), IGT (n=4) and healthy control subjects (n=9) were studied before and after eight weeks of exercise training by rowing ergometry at 65-70% of peak oxygen uptake. CONCLUSIONS: 1) patients with T2DM have elevated plasma concentrations of CVD biomarkers compared to the matched control and IGT groups; 2) a moderate to vigorous intensity home-based training program did not reduce plasma concentrations of these CVD markers; 3) insulin sensitivity improved as a result of exercise training in the control group, but not in the T2DM group.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.287
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations13
Published2009
Admission routes1
Has abstractyes

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