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Yellowish discoloration of dialyzer

2011· article· en· W2120911011 on OpenAlexvenueno aff
Yeong‐Woei Chiew, Sheng‐Jeng Peng, Chwei‐Shiun Yang

Bibliographic record

VenueHemodialysis International · 2011
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnuriaJaundiceHemodialysisExacerbationUremiaMalaiseBilirubinDialysisHepatitisViral hepatitisGastroenterologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

A 43-year-old Chinese man with chronic viral hepatitis and end-stage renal disease, receiving conventional hemodialysis for 6 years, presented with general malaise and abdominal fullness. After 4.5 hours of hemodialysis, the hollow fibers of the dialyzer turned yellow. Biochemistry studies showed hyperbilirubinemia. The actual serum bilirubin (7.4 mg/dL) could be proved. Abdominal echography survey was negative. Hyperbilirubinemia was secondary to acute exacerbation of chronic viral hepatitis. Anuria and skin hyperpigmentation in uremia lack the tea-color urine and mask clinical jaundice in the presence of hyperbilirubinemia. Careful observation of dialyzer yellowish discoloration gave us timely discovery of patient's hyperbilirubinemia.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.288
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 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

Citations3
Published2011
Admission routes1
Has abstractyes

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