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Record W2462864925 · doi:10.1111/hdi.12447

Hyponatremia in patients with chronic kidney disease

2016· review· en· W2462864925 on OpenAlexvenueno aff
Rui Zhang, Songyan Wang, Mian Zhang, Lijuan Cui

Bibliographic record

VenueHemodialysis International · 2016
Typereview
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsHyponatremiaMedicineHemodialysisKidney diseaseIntensive care medicineIncidence (geometry)DiseaseInternal medicine

Abstract

fetched live from OpenAlex

Hyponatremia is a common condition encountered in clinical practice. A number of studies have associated low serum sodium levels with increased mortality in various patient populations, such as hospitalized patients and patients with various comorbid conditions; recent studies have shown that individuals with chronic kidney disease also are afflicted by hyponatremia. However, few studies have focused on patients with hemodialysis. Evidence supporting the incidence and prevalence of hyponatremia, clinical characteristics and the association with patient outcomes with hemodialysis is limited. In the present review, we examined the physiology and pathophysiology of water and sodium balance with a special emphasis on changes occurring during end-stage renal disease. The outcomes in patients undergoing hemodialysis were associated with low serum sodium. We evaluated the associations between hyponatremia and mineral bone abnormalities and discussed the elevated incidence and prevalence of difficult clinical outcomes associated with hyponatremia. We also provided specific recommendations for hemodialysis treatment in hyponatremic patients.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.281
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
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

Citations29
Published2016
Admission routes1
Has abstractyes

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