Relationship Between ADPKD and Post-Renal Transplant Diabetes Mellitus
Bibliographic record
Abstract
Background: Autosomal-dominant polycystic kidney disease (ADPKD), a common hereditary disease, is characterized by the progressive development and enlargement of multiple cysts in both kidneys, and typically resulting in end stage renal disease (ESRD) by the fifth decade of life. Post-transplant diabetes mellitus (PTDM), a common complication after transplantation with an incidence rate of 2.5-20%, is associated with poor graft and patient survival. In few studies, PTDM has been more frequent in ADPKD transplanted patients. In the present study, we investigated whether there is any association between PTDM and ADPKD in our patients. Methods: In this prospective study, 140 non-diabetic and nonsmoker successfully transplanted patients (27 ADPKD and 113 non ADPKD patients) were enrolled during three years. Both groups were matched for age, sex, body mass index (BMI), duration of renal replacement therapy before transplantation and also immunosuppressive protocols after transplant. Post-transplant diabetes mellitus was defined as Clinical Practice Guidelines advocated by Canadian Diabetes Association. All patients were followed for 12 months. Results: PTDM occurred in 11.1% of ADPKD patients and in 13.1% of control group which was statistically insignificant (P > 0.05). The development of PTDM in ADPKD group was not related to sex, age, and hypertension, duration of renal replacement therapy before transplantation, BMI and serum creatinine levels (P > 0.05). Conclusion: Post-transplant diabetes mellitus appears not to be associated with autosomal-dominant polycystic kidney disease as an etiology of end stage renal disease.
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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".