Late lymphocele infection with Parvimonas micra in a kidney allograft recipient
Bibliographic record
Abstract
BACKGROUND: Lymphocele infection is a frequent and usually early complication following renal transplantation. We report the case of a transplanted patient with a chronic lymphocele that became infected six years after transplantation Parvimonas micra, a commensal of the human oral cavity. CASE PRESENTATION: The patient had a stable lymphocele for six years post-transplantation, as observed through several medical imaging studies, without the need for intervention due to the absence of any impact on graft function. Regarding a six-month progressive decline in general condition, a persistent inflammatory syndrome and a deterioration of renal function, a PET scan revealed a hypermetabolic infiltration behind the lymphocele adjacent to the graft. Bacterial superinfection with Parvimonas micra was diagnosed by an exploratory puncture. The patient had a history of dental periodontal treatments. The initial attempt at treatment with radiological drainage and three months of antibiotic therapy was unsuccessful. Faced with radiological deterioration despite treatment, the patient underwent surgical intervention for lavage with necessary antibiotic therapy for an additional six weeks. He achieved clinical remission, but metabolic activity persists within the site of a residual collection, and the patient remains closely observed. CONCLUSIONS: Infected lymphoceles should be considered in the differential diagnosis for patients presenting with nonspecific infectious and inflammatory symptoms, regardless of the time elapsed since renal transplantation. The treatment of this complication can be complex.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".