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Record W2053135721 · doi:10.1159/000186351

Chronic Ciclosporin Nephrotoxicity: A Rabbit Model

2008· article· en· W2053135721 on OpenAlexafffund
James A. Thliveris, Randall W. Yatscoff, Michael P. Lukowski, Kenneth R. Copeland, John Jeffery, Gérard F. Murphy

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of ManitobaHealth Sciences Centre
FundersSandoz CanadaMedical Research Council Canada
KeywordsMedicineNephrotoxicitySalineCiclosporinFibrosisCreatinineAtrophyCellular infiltrationEndocrinologyInternal medicinePathologyKidneyInflammation

Abstract

fetched live from OpenAlex

Ciclosporin (CsA) was administered intravenously for 30 days to New Zealand white rabbits at the following doses: group A, 2.5 mg/kg/day; group B, 5.0 mg/kg/day; group C, 10 mg/kg/day; group D, saline control; group E, vehicle (cremophor-EL) control. Creatinine clearance was significantly reduced (p less than 0.05) at time of sacrifice in group C as compared to controls. There were no apparent differences among the five groups with respect to body weight gain or blood pressure. Morphologically, there were marked changes in the cytoarchitecture of the kidneys from all groups of animals treated with CsA. At the light microscopic level, in contrast to controls, there was the presence of leukocyte infiltration, tubular atrophy, interstitial fibrosis, and arteriolopathy. At the ultrastructural level, numerous vacuoles, lysosomal-like structures, and loss of cellular integrity were seen in the proximal and distal tubules, as well as interstitial fibrosis in the form of numerous collagen fibers. No changes in the glomeruli were seen in any of the CsA-treated groups. These findings are consistent with chronic CsA nephrotoxicity similar to that seen in man.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.062
GPT teacher head0.327
Teacher spread0.265 · 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.

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

Citations16
Published2008
Admission routes2
Has abstractyes

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