Primary Hepatic Other Iatrogenic Immunodeficiency-Associated Lymphoproliferative Disorders After Methotrexate Therapy
Bibliographic record
Abstract
Prior reports described cases of lymphoproliferative diseases occurring after methotrexate (MTX) administration, which are called methotrexate-associated lymphoproliferative disorders (MTX-LPDs). It has become clear that these lymphoproliferative diseases also occur following treatment with other immunosuppressive drugs, and they have been termed as other iatrogenic immunodeficiency-associated lymphoproliferative disorders (OIIA-LPDs). In most of these cases, the duration of immunosuppressive drugs is very long, on the order of years. In the present study, we evaluated the development of lymphoproliferative disease despite the short duration of immunosuppressive treatment and determined the tumor doubling time. A 71-year-old woman was diagnosed with adult-onset Still’s disease. The patient was administered prednisone 30 mg per day starting on February 25, 2022 and MTX 6 mg per week starting 2 weeks later. Because she was a hepatitis B virus (HBV) carrier, nucleic acid analog therapy was also started to prevent HBV activation. Eight weeks later, biweekly tocilizumab was started. After 5 months of MTX administration, a solitary liver tumor measuring 37 × 32 mm 2 was detected. Three months later, repeat computed tomography revealed that the liver tumor had grown rapidly to 7 cm in diameter. We considered the possibility of OIIA-LPDs and stopped MTX therapy. Biopsy specimens of the liver tumor exhibited lymphocyte proliferation, which was consistent with OIIA-LPDs. The doubling time for tumor growth was 33 days. Despite withdrawing MTX for 6 weeks, the tumor continued to grow, and thus, the patient was referred to the hematology unit. In previously reported cases of MTX-LPDs of hepatic origin, the average duration of MTX administration was 7.3 (2 - 13) years. This report describes a primary hepatic OIIA-LPDs-associated tumor that rapidly increased in size after an extremely short period of MTX administration. J Med Cases. 2023;14(8):282-288 doi: https://doi.org/10.14740/jmc4135
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 teacher head, 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".