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Record W2150612440 · doi:10.1647/2007-056.1

Diabetes Mellitus in a Nanday Conure (Nandayus nenday)

2008· article· en· W2150612440 on OpenAlexaff
Marion Desmarchelier, Isabelle Langlois

Bibliographic record

VenueJournal of Avian Medicine and Surgery · 2008
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsCanadian Veterinary Medical Association
FundersPfizer
KeywordsDiabetes mellitusMedicineBiologyVeterinary medicineEndocrinology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.305
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations24
Published2008
Admission routes1
Has abstractyes

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