A Case Report of Progressive Multifocal Leukoencephalopathy in Peritoneal Dialysis
Bibliographic record
Abstract
We experienced a case manifesting progressive multifocal leucoencephalopathy (PML) in peritoneal dialysis (PD). A 27-year-old male patient had received a chronic PD therapy for 4 years. He had a past medical history of hypertension and myelodysplastic syndrome. He complained of hemiparesis with sudden onset and behavioral disorders. The patient seemed indifferent, incoherent with deficit walking. The cranial nerve examination showed a left central facial paralysis. Brain CT scan showed a paramedian right low density area not systemized, located in the corpus callosum and the centrum semiovale. Brain MRI confirmed the presence of PML by the detection of signal abnormalities in bilateral and asymmetrical white matter. The culture of cerebral spinal fluid was negative. The patient underwent six sessions of plasma exchange with favorable evolution. Few cases of PML have been reported in hemodialysis patients and no case has been previously described in PD. In our case, under immunocompromised conditions, precipitating factors appear multifactorial. Depressed immune system induced by chronic dialysis as well as liver disease and myelodysplasia might contribute to the development of florid clinical manifestation of PML. World J Nephrol Urol. 2017;6(3-4):35-39 doi: https://doi.org/10.14740/wjnu316w
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".