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Record W3134902362 · doi:10.1111/hdi.12923

Relationship of food intake during hemodialysis and symptomatic intradialytic hypotension

2021· article· en· W3134902362 on OpenAlexvenueno aff
I Jelicić

Bibliographic record

VenueHemodialysis International · 2021
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisMealComplicationInternal medicineAnesthesiaSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Intradialytic hypotension is the most common complication during hemodialysis and is associated with increased cardiovascular disease, mortality, and overall hospital admissions. We analyzed the influence of food intake during hemodialysis on intradialytic hypotension. METHODS: A total of 105 patients treated with chronic hemodialysis were observed for 8 weeks-4 weeks with a meal during hemodialysis and 4 weeks without a meal. FINDINGS: A statistically significant decrease of hypotensive events (p < 0.001) and cramping episodes (p = 0.035) was observed during a 4-week period without a meal. Patients who were particularly susceptible to intradialytic hypotension were those who were diabetic, had low urinary excretion, and were treated with hemodialysis for a long time. On a follow up, there was a significant increase in serum albumin after 3 months (p = 0.01) and 6 months (p = 0.036) despite meal withdrawal during hemodialysis. DISCUSSION: Fasting during hemodialysis may cause a significantly lower frequency of intradialytic hypotension and cramping episodes without affecting the nutritional status.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.019
GPT teacher head0.246
Teacher spread0.228 · 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 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

Citations11
Published2021
Admission routes1
Has abstractyes

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