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Record W4212781132 · doi:10.1002/9781119484288.ch91

Geriatric nephrology

2022· other· en· W4212781132 on OpenAlexaff
David Schlientz, Liza Genao, Carlos G. Musso, Dimitrios G. Oreopoulos

Bibliographic record

VenuePathy's Principles and Practice of Geriatric Medicine · 2022
Typeother
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineNephrologyNephronHyalineMesangiumPopulationGlomerulonephritisInternal medicineKidney diseaseRenal functionRenal biopsyTransplantationKidneyUrologyPathologyGastroenterology

Abstract

fetched live from OpenAlex

The discipline of geriatric nephrology includes normal renal ageing changes, their clinical consequences, and renal diseases that occur in the older adult population as a result of these changes. The mesangium increases to nearly 12% by age 70, and microangiographic examination shows the obliteration particularly of the juxtamedullary nephrons, which is followed by the formation of a direct channel between afferent and efferent arterioles. Primary glomerulonephritis was the most frequent biopsy-proven renal disease in this population, even more frequent than primary glomerulonephritis in younger adults. Prearterioles show subendothelial deposition of hyaline and collagen fibres that produce intimal thickening. Chronic kidney disease is a syndrome characterised by progressive and generally irreversible deterioration of renal function due to the reduction of the nephron mass. The success of transplantation in geriatric end-stage renal disease patients requires improved patient selection, the use of new immunosuppressive drugs, and lower doses of corticosteroids.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.083
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0830.035

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 head0.023
GPT teacher head0.293
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePathy's Principles and Practice of Geriatric MedicineSame topicDialysis and Renal Disease ManagementFrench-language works237,207