IgG4 prostatitis associated with prostatic adenocarcinoma: A case report and literature review
Bibliographic record
Abstract
A 66-year-old male patient had a prostate biopsy for an elevated serum prostate specific antigen which revealed prostatic adenocarcinoma, Gleason score 3 + 4 = 7 (Grade group 2) with marked background chronic inflammation. A radical prostatectomy showed prostatic adenocarcinoma accompanied by IgG4 prostatitis, which had not been appreciated in the biopsy. The patient had chronic asthma and 4 years prior to the biopsy he had been diagnosed with IgG4-related orbital disease. This history was however unknown during the initial interpretation of the prostate biopsy and prostatectomy. No autoimmune pancreatobiliary involvement was documented at any point, either initially or during the follow-up. IgG4-related prostatitis and prostatic adenocarcinoma have been previously reported to occur simultaneously only in 2 cases. We provide additional evidence that prostatic adenocarcinoma and IgG4-related disease may be found synchronously in the prostate. Therefore, it is important to consider the possibility of an unrecognized IgG4 prostatitis, whenever a heavy lymphoplasmacytic inflammation is found in the prostate, particularly in the absence of a marked granulomatous reaction. To our knowledge, IgG4 prostatitis and prostatic adenocarcinoma accompanied by orbital IgG4-related disease, but without a pancreatobiliary involvement, have not been previously documented.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".