Concurrent Type 2 Diabetes and Multiple Endocrine Neoplasia Type 1 With a Novel MEN1 Gene Mutation
Bibliographic record
Abstract
Multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominant inherited disorder that is characterized by the combined occurrence of primary hyperparathyroidism (PHPT), enteropancreatic neuroendocrine tumors and anterior pituitary adenomas. Increased insulin resistance and a higher prevalence of glucose intolerance have been noted in MEN1 families and are associated with increased cardiovascular mortality. Mutations in the MEN1 tumor suppressor gene cause multiple tumors in MEN1 but can also be associated with glycemic dysregulation. A 52-year-old man was admitted for blood glucose control. He had been diagnosed with diabetes 3 years previously. Hypercalcemia was incidentally detected during a blood test. After examination, he was diagnosed with PHPT caused by parathyroid hyperplasia. On genetic analysis, he was found to have a novel mutation in the MEN1 gene (exon 10, c.1590_1606_del; p.Gly532AlafsX20). We report a case of MEN1 with a novel MEN1 gene mutation associated with type 2 diabetes in a patient with no family history of diabetes. This is the first case of MEN1 associated with type 2 diabetes before pancreatic surgery in Korea. J Med Cases. 2014;5(11):596-600 doi: http://dx.doi.org/10.14740/jmc1973w
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".