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Record W2168294324 · doi:10.2337/diacare.24.5.953

The Oral Insulin Sensitizer, Thiazolidinedione, Increases Plasma Vascular Endothelial Growth Factor in Type 2 Diabetic Patients

2001· letter· en· W2168294324 on OpenAlexfundno aff
Tsuneharu Baba, Koichi Shimada, Sabine Neugebauer, Daishiro Yamada, Shigeatsu Hashimoto, Tsuyoshi Watanabe

Bibliographic record

VenueDiabetes Care · 2001
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsnot available
FundersMedical Research CouncilMedical Research Council CanadaUniversity of British ColumbiaCanadian Diabetes Association
KeywordsThiazolidinedioneMedicineInternal medicineEndocrinologyType 2 diabetesDiabetes mellitusVascular endothelial growth factorInsulinVEGF receptors

Abstract

fetched live from OpenAlex

Thiazolidinediones, insulin sensitizers, are widely used for the treatment of insulin resistance in type 2 diabetic patients. One of the adverse effects is fluid retention. We evaluated the effect of pioglitazone, a thiazolidinedione, on plasma vascular endothelial growth factor (VEGF) in comparison with that of metformin in type 2 diabetic patients. A 4-week administration of pioglitazone significantly increased plasma VEGF levels, whereas levels were unchanged by metformin. The results suggest that thiazolidinediones may increase plasma VEGF levels, possibly one of the causes of the drug-induced fluid retention and edema. Type 2 diabetes is characterized by fasting hyperglycemia caused by increased insulin resistance with or without decreased insulin secretion (1). Appropriate weight reduction and physical exercise in obese type 2 diabetic patients are useful in reducing the insulin resistance in these patients. Thiazolidinediones are a widely used class of drugs for the treatment of insulin resistance in type 2 diabetic patients (2). Two of …

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.214
Teacher spread0.206 · 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.

Study designNot applicable
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

Citations58
Published2001
Admission routes1
Has abstractyes

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