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Record W2144787908 · doi:10.1093/ndt/gfs052

Chronic kidney disease and life expectancy

2012· article· en· W2144787908 on OpenAlexafffund
Tanvir Chowdhury Turin, Marcello Tonelli, Braden Manns, Pietro Ravani, Sofia B. Ahmed, Brenda R. Hemmelgarn

Bibliographic record

VenueNephrology Dialysis Transplantation · 2012
Typearticle
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsUniversity of AlbertaUniversity of Calgary
FundersCanadian Institutes of Health ResearchCanadian Diabetes Association
KeywordsLife expectancyMedicineKidney diseaseDiseaseRenal functionPopulationExpectancy theoryGerontologyIntensive care medicineInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Life expectancy is commonly used as an indicator of health and reflects disease burden in the population. The life expectancy for patients with lower levels of kidney function has not been reported. METHODS: The abridged life table method was applied to calculate the life expectancies of men and women from age 30 to 85 years, by levels of kidney function as defined by estimated glomerular filtration rate (eGFR): ≥ 60, 45-59, 30-44 and 15-29 mL/min/1.73 m(2). RESULTS: Men and women aged 40 years had a life expectancy of 30.5 and 34.6 years at eGFR ≥ 60 mL/min/1.73 m(2), 24.5 and 28.7 years at eGFR 45-59 mL/min/1.73 m(2), 14.5 and 16.5 years at eGFR 30-44 mL/min/1.73 m(2) and 10.4 and 9.1 years at eGFR 15-29 mL/min/1.73 m(2), respectively. Life expectancy was longer for women compared with men at all ages and eGFR categories, other than for eGFR 15-29 mL/min/1.73 m(2) where there was no difference in life expectancy by gender. CONCLUSION: A lower level of kidney function is associated with a reduction in life expectancy for both men and women.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.028
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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

Citations127
Published2012
Admission routes2
Has abstractyes

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