A case report of posterior reversible encephalopathy syndrome in a patient receiving gemcitabine and cisplatin
Bibliographic record
Abstract
RATIONALE: Posterior reversible encephalopathy syndrome (PRES) is a subacute syndrome causing characteristic neurologic and radiologic findings. PRES is predominantly caused by malignant hypertension though it has been associated with immunosuppressive treatments such as chemotherapy. PATIENT CONCERNS: We describe a case of a 58 year old female who developed fluctuant level of consciousness, agitation. DIAGNOSIS: MRI findings were in keeping with posterior reversible encephalopathy syndrome following cycle 6 of palliative gemcitabine and cisplatin therapy for metastatic cholangiocarcinoma. INTERVENTIONS: The patient was managed with magnesium supplementation for hypomagnesemia and amlodipine. OUTCOMES: The patient's level of consciousness returned to normal though she had residual neurologic deficits impairing her ability to drive and impacting her balance. CONCLUSIONS: Cisplatin is a documented causative agent of PRES though gemcitabine is rarely associated with the syndrome. Combination cisplatin and gemcitabine therapy causing radiologically proven PRES has been documented in only 3 previous case reports. Gemcitabine's poor blood-brain barrier penetration makes it an unlikely culprit of central nervous system (CNS) toxicities. Our case and previous reports suggest higher doses may contribute to CNS toxicities such as PRES. Additionally, an emerging trend of hypomagnesemia associated with PRES has been documented inside and outside the context of malignancy and suggests a possible target for treatment and prevention warranting further investigation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".