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The combined impact of diabetes mellitus and chronic kidney disease on mineral metabolism and bone fragility

2020· book-chapter· en· W3120938913 on OpenAlexaff
Sandra Cooke-Hubley, Christopher S. Kovács

Bibliographic record

VenueDiabetes Mellitus · 2020
Typebook-chapter
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsSt. John’s Health Sciences Centre
Fundersnot available
KeywordsMedicineDiabetes mellitusBone remodelingDiabetic nephropathyInternal medicineKidney diseaseEndocrinologyTransplantationBone mineralNephropathyKidneyRenal functionIntensive care medicineOsteoporosis

Abstract

fetched live from OpenAlex

Both type 1 and 2 diabetes mellitus cause a low-turnover bone disorder that increases fragility. Diabetes also increases the risk of chronic renal insufficiency, end-stage renal disease, and the need for kidney or simultaneous pancreas-kidney transplantation. As kidney function declines, major clinical and biochemical abnormalities develop that have been demonstrated to adversely affect bone health. In turn, these disturbances in mineral and bone metabolism combine with the underlying effects of diabetes on bone, which result in greater fragility, morbidity, and mortality than caused by either diabetes or renal insufficiency alone. In this chapter, we will review the pathophysiology by which chronic kidney disease affects bone and mineral metabolism, how this can especially impact fracture risk for patients with diabetic nephropathy, and the available options for diagnosis and treatment. We will also review the effects that end-stage renal failure and renal transplantation can have on bone metabolism and fracture risk in patients with 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.247
Teacher spread0.236 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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