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Record W4365479207 · doi:10.1111/hdi.13086

Adaptation of home nocturnal hemodialysis for a patient with epidermolysis bullosa: A call to personalized care!

2023· article· en· W4365479207 on OpenAlexaffvenue
Rose Faratro, Christopher T. Chan

Bibliographic record

VenueHemodialysis International · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSkin and Cellular Biology Research
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineHemodialysisEpidermolysis bullosaHome hemodialysisKidney diseaseIntensive care medicinePopulationNephropathyDiseaseDermatologyNocturnalInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Epidermolysis bullosa (EB) is a genetic disease characterized by skin fragility presenting with blistering and skin erosions. Recurrent skin infections are noted to be associated with the pathogenesis of IgA nephropathy. End stage kidney disease (ESKD) is a rare complication in patients with EB (Ducret F., et al., Nephrol Ther, 2008). Kidney replacement therapy is very challenging in this vulnerable patient population (Fine JD. et al., Am J Kidney Dis, 2004). Herein, we describe the adaptations to our home nocturnal hemodialysis training and operations to facilitate a patient with EB and ESKD to undergo personalized home nocturnal hemodialysis therapy.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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