Pristutnost neuropatske boli kod pacijenata nakon transplantacije bubrega i nefrektomije
Bibliographic record
Abstract
Background: Neuropathic pain is defined as the result of disease or damage to the central or peripheral nervous system. Chronic pain, especially neuropathic pain, greatly affects the quality of life in patients after kidney transplantation and nephrectomy, so it is very important to recognize it as early as possible. Aim: The objectives of the study were to determine whether there is a difference between patients undergoing kidney transplantation and patients who underwent nephrectomy in relation to the incidence of neuropathic pain, and whether the incidence of neuropathic pain is higher in patients with diabetes, psychiatric diagnosis, and previous surgery. Methods: This cross- sectional study was conducted at the Department of Urology, Urology Clinic and Nephrology-Transplant Clinic, Clinical Hospital Merkur. Data from 80 patients were analyzed, 45 of them had a kidney transplant and 35 had a nephrectomy. Validated questionnaires are used to assess pain, the VAS pain scale, and the pain detect questionnaire translated into Croatian was used to assess neuropathic pain. Results: Most respondents have a negative result according to the pain detect questionnaire (92.5%). Gender, lifestyle habits, diagnosis of diabetes, and previous surgeries showed no significant differences from the pain detection questionnaire. Older subjects (61-84 years) had significantly more neuropathic pain present compared to younger subjects (p = 0.04). Patients diagnosed with psychiatric illness had a higher number of adverse outcomes according to the pain detection questionnaire (p = 0,019) as well as a higher intensity of pain according to the VAS scale at the time of filling the inquiry (p = 0,002), the strongest pain in the last 4 weeks (p= 0,001) and average pain in the last 4 weeks (p = 0,003) compared to patients without a diagnosis of psychiatric illness. Conclusion: The obtained results show that there is no difference in the incidence of neuropathic pain in patients after transplantation and nephrectomy. Diabetes and previous surgeries have not shown statistical significance in the incidence of neuropathic pain. Subjects who had been diagnosed with a psychiatric diagnosis had significantly greater pain and more unclear results on the pain detect questionnaire.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".