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Diagnosis and Management of Diabetes and the Relationship of dGlucose to Kidney Function

2015· review· en· W1993772019 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 Diabetes Reviews · 2015
Typereview
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePostprandialDiabetes mellitusGlycemicRenal functionIntensive care medicineDiabetes managementInternal medicineKidney diseaseType 2 diabetesEndocrinology

Abstract

fetched live from OpenAlex

This article reviews different glycemic parameters and is aimed to clarify the most dependable glycemic parameter that predicts renal preservation. Glycosylated hemoglobin (HbA1c) and fasting blood glucose (FBG) are the most commonly ordered tests for the diagnosis of diabetes and are also used to indicate prevention of microvascular complications associated with diabetes. Some experts have concluded that HbA1c remains the only test that can predict microvascular complications but HbA1c is misleading with anemia. Other experts have reported that elevation of 2 hour postprandial glucose (2hPPG) or postprandial hyperglycemia is critical for the development of diabetic complications Measurement of parameters under fasting conditions is convenient in both clinical and research settings and are used to establish clinical guidelines for diabetes management and for rating efficacy of management. Despite the use of these diagnostic markers and a plethora of oral antidiabetic agents to treat diabetes, diabetic complications namely; cardiovascular disorders (CVD), end stage renal disease (ESRD) and amputation are on the rise. Although affirmative data on many of the complications are not available, the United States Renal Data System on ESRD is a testimonial to poor diabetes care. We have innovated dglucose (2hPPG-FBG) and found that dglucose relates significantly to renal function change measured by serum creatinine levels or estimated glomerular filtration rate. Our current study on dglucose confirms our previous finding and validates the importance of dglucose to aid in the management of diabetes and prevents diabetic complications. In conclusion, the new finding in this study is dglucose (2h-postprandial glucose-Fasting glucose) which convincingly relates to renal function changes. Since dglucose is a product of 2hPP glucose, keeping 2hPPG under tight control with intensive insulin therapy is fundamentally important. Further blood pressure control avoiding the use of renin-angiotensin inhibitor therapy is additive to renal protection in diabetes.

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)0.003
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 score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.189
GPT teacher head0.415
Teacher spread0.226 · 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