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Record W2793271189 · doi:10.1111/hdi.12635

Dialysis disequilibrium syndrome leading to sudden brain death in a chronic hemodialysis patient

2018· article· en· W2793271189 on OpenAlexvenueno aff
Tarun Dalia, Ahmad Tuffaha

Bibliographic record

VenueHemodialysis International · 2018
Typearticle
Languageen
FieldMedicine
TopicNeurological and metabolic disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisDialysisKidney diseasePeritoneal dialysisDiseaseIntensive care medicineCause of deathSudden deathIncidence (geometry)PediatricsInternal medicine

Abstract

fetched live from OpenAlex

Dialysis disequilibrium syndrome (DDS) is a rare central nervous system (CNS) disease which develops in patients receiving hemodialysis (HD). Although it has been reported in patients receiving chronic HD, DDS is more common during or immediately after the first HD treatment. The exact incidence of DDS is unknown. Death in DDS is an extremely rare phenomenon and to the best of our knowledge only 9 cases have been reported showing this association. We present a unique case of a 42-year-old female on chronic HD, and no prior history of CNS disease, who developed brain death in the setting of DDS 2 hours into the dialysis treatment. A literature review of all previously reported cases was performed.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.020
GPT teacher head0.289
Teacher spread0.269 · 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 designCase report
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

Citations14
Published2018
Admission routes1
Has abstractyes

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