Bibliographic record
Abstract
Blood glucose regulation is not only a complex phenomenon but glucose regulatory levels also vary significantly across individuals. Thus, whereas individuals compromised with moderately elevated blood glucose levels are diagnosed as having impaired glucose tolerance, excessive blood glucose levels render a Type II diabetes diagnosis. Type II diabetes prevalence rates in the adult population have been estimated to be between 6 and 10 percent. Although Type II diabetes has been typically associated with older people, the disease has become much more common among young adults and children. It has become increasingly evident that protracted glucose tolerance impairment usually precedes a type II diabetes diagnosis, although impaired glucose tolerance will not necessarily progress to a diabetic state. Furthermore, a number of studies have shown that impaired glucose tolerance or type II diabetes is associated with impaired cognitive function in older subjects. In addition, we recently found that cognitive deficits are also associated with moderately impaired glucose regulation in young healthy volunteers. These data, although in need of confirmation and extension, suggest that impaired glucose tolerance is associated with impaired cognition, independent of age. Moreover, since impaired glucose tolerance is more prevalent than diabetes across all ages, then our finding lead to the implication that impaired cognitive function may be more prevalent in the general population than previously estimated. Finally, the dysfunction of glucoregulatory mechanisms may be an important intervening factor when studying the evolution of cognitive function through the aging process.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".