Cancer Antigen 125 and Nephrotic Syndrome
Bibliographic record
Abstract
Background: Cancer antigen 125 (CA-125) serves as a nonspecific test for the diagnosis of several pathologic conditions involving a compromised mesothelium resulting from inflammatory processes. This investigation reports the association of CA-125 with severe nephrotic syndrome caused by primary glomerulopathy, which often coexists with inflammation. Methods: CA-125 levels, clinical data and isolated ultrafiltration therapy were assessed with severe nephrotic syndrome. Nineteen patients were recruited with nephrotic syndrome and primary glomerulopathy. Of these, seven patients had criteria for severe nephrotic syndrome which was defined as including all three of the following criteria: 1) proteinuria is greater than or equal to 8 g/24 h; 2) the presence of anasarca; and 3) creatinine is greater than or equal to 1.2 mg/dL. The nonparametric Spearman Rho and Kruskal-Wallis tests were used to assess these correlations. Results: There was an increase in CA-125 levels in 85% of the patients with nephrotic syndrome. The patients defined as having severe nephrotic syndrome showed a median CA-125 value of 1,501 U/mL (P < 0.001), with levels up to 90-fold greater than normal during the initial assessment. CA-125 ? 700 U/mL was associated with 100% sensitivity and 91% specificity for severe nephrotic syndrome (P < 0.001). Conclusions: CA-125 test is associated quantitatively with the severity of nephrotic syndrome. World J Nephrol Urol. 2019;8(1):14-16 doi: https://doi.org/10.14740/wjnu385
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".