MétaCan
Menu
Back to cohort
Record W2052439041 · doi:10.1159/000167431

Unilateral Nodular Diabetic Glomerulosclerosis: Recurrence of an Experiment of Nature

2008· article· en· W2052439041 on OpenAlexaff
Vincent C. B eacute roniade, Ren eacute Lefebvre, Pierre Falardeau

Bibliographic record

VenueAmerican Journal of Nephrology · 2008
Typearticle
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineDiabetic nephropathyDiabetes mellitusPathologicalGlomerulosclerosisRenal Artery ObstructionStenosisCardiologyInternal medicineNephropathyPathogenesisIncidence (geometry)Renal arteryRenal artery stenosisKidneyProteinuriaEndocrinology

Abstract

fetched live from OpenAlex

The case of a 60-year-old diabetic patient with a fully developed diabetic glomerulosclerosis in one kidney, but only ischemic lesions in the contralateral one, which was 'protected' by a renal artery stenosis, is presented. The only other report of such a peculiar observation was made by Berkman and Rifkin on a patient who died in 1940. Because of the rather high incidence of diabetes and of renal artery stenosis, the scarcity of this 'experiment of nature' is astonishing and can be barely explained by a precise timing of the two pathological conditions. Despite rather detailed information on the clinical and paraclinical evolution of the present patient, the exact sequence of events could not be determined with certitude. Both cases bring a strong support for the role of glomerular hyperperfusion-hypertension in the pathogenesis and evolution of diabetic nephropathy and provide a theoretical basis for the importance of keeping the arterial pressure low in diabetics.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.279
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations30
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of NephrologySame topicRenal and Vascular PathologiesFrench-language works237,207