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Record W2958840215 · doi:10.1097/mnh.0000000000000533

Hyperphosphataemia in 2019

2019· review· en· W2958840215 on OpenAlexaff
A. Hutchison, Ron Wald, Thomas F. Hiemstra

Bibliographic record

VenueCurrent Opinion in Nephrology & Hypertension · 2019
Typereview
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineMEDLINEIntensive care medicinePolitical science

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This review describes recent developments in the management of serum phosphate in dialysis patients, with a focus on the development of recent trials which randomize patients to different levels of control. RECENT FINDINGS: We review the uncertainties around clinical benefits of serum phosphate control and alternative approaches to current management, as well as a multinational attempt to conduct randomized controlled trials in this area. We discuss novel methods of limiting oral phosphate absorption. SUMMARY: Although numerous guidelines and target ranges for serum phosphate management exist, they are largely based on observational data and there is no definitive evidence that good control improves the length or quality of life of dialysis patients. New phosphate binders continue to appear on the market with increasing financial cost but without additional meaningful outcome data. Two recently published trials have demonstrated the feasibility of a large-scale study of differing phosphate levels to test the hypothesis that reduction of serum phosphate is beneficial to dialysis patients. Restriction of oral phosphate intake should not be overlooked.

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.151
GPT teacher head0.410
Teacher spread0.259 · 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
GenreReview

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

Citations5
Published2019
Admission routes1
Has abstractyes

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