Relationship between transforming growth factor beta 1 and peripheral neuropathy in type 2 diabetic
Bibliographic record
Abstract
Objective To investigate the relationship between transforming growth factor beta 1(TGFβ1) and peripheral neuropathy in patients with type 2 diabetes(DPN).Methods According to Toronto rating system,85 Type 2 diabetic mellitus(T2DM) patients were graded into A,B1,B2,and B3 stages based on the severity.The serum levels of TGFβ1,glycosylated hemoglobin(HbA1c) and lipids,as well as renal function were detected and analyzed among the different groups.Results Serum levels of TGFβ1 were higher in total diabetes groups than in control group [(22.3 ±1.6) pg/ml vs.(17.4±0.2) pg/ml,P 0.01].Serum levels of TGFβ1 were higher in patients with DPN than patients without DPN [(22.1±1.8)pg/ml vs.(21.2±0.3) pg/ml,P 0.05].With the increase of DPN severity,the serum levels of TGFβ1 dropped(P 0.01).In a Logistic regression model,taking DPN as a dependent variable,the duration of diabetes was significantly associated with the severity of DPN(P 0.01).Conclusion High serum levels of TGFβ1 may be useful for the early diagnosis of DPN,and the duration of diabetes may be a risk factor for the development of peripheral neuropathy in T2DM patients.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".