Diabetes Mellitus in a Nanday Conure (Nandayus nenday)
Bibliographic record
Abstract
A 3-year-old male nanday conure (Nandayus nenday) was presented with acute lethargy, polyuria, and polydipsia. Marked persistent hyperglycemia, glycosuria, and ketonuria were also noted. The serum insulin concentration (< 3 microU/ml) was lower than reference ranges described for other psittacine birds. Initial treatment included insulin, antibiotics, and supportive care. Insulin therapy was adjusted based on results of serial blood glucose curves. Histopathologic examination of pancreatic biopsy samples revealed normal exocrine pancreatic tissue with rare lymphoplasmocytic infiltrates and absence of pancreatic islets, suggesting atrophy of endocrine pancreatic tissue. Resolution of clinical signs and a normalized blood glucose curve were obtained after administration of long-acting insulin (0.3 IU/kg IM AM and 0.25 IU/kg IM PM). One month after initial presentation, the conure was admitted for severe dyspnea and lethargy and died despite supportive care. Histopathologic examination of the pancreas revealed nearly total depletion of the endocrine pancreas with moderate lymphoplasmocytic pancreatitis. Immunohistochemical evaluation of the remaining pancreatic islets was negative for the presence of insulin and positive for glucagon. Results of polymerase chain reaction tests for Chlamydophila psittaci performed on tissues from the liver, spleen, and lung were negative. Transmission electron microscopy did not demonstrate viruses. Clinical and pathological findings observed in this case are consistent with insulin-dependant type 1 diabetes.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".