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Record W4393903339 · doi:10.1016/j.ekir.2024.02.1269

WCN24-2160 SUBSTANTIAL SEX DIFFERENCES IN PERITONEAL DIALYSIS OUTCOMES: RESULTS FROM PDOPPS

2024· article· en· W4393903339 on OpenAlexaff
Edwina A. Brown, Rehab B. Albakr, Brian Bieber, Dhajanae Sylvertooth, Shilpanjali Jesudason, David W. Johnson, Hideki Kawanishi, Yong-Lim Kim, Talerngsak Kanjanabuch, Mihran V. Naljayan, Roberto Pecoits‐Filho, Ronald L. Pisoni, Jeffrey Perl

Bibliographic record

VenueKidney International Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePeritoneal dialysisIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Peritoneal dialysis (PD) has many advantages as a home treatment. While sex differences exist in the diagnosis and management of numerous different diseases, including kidney disease, there is a limited understanding of whether sex influences PD outcomes. Using the prospective worldwide Peritoneal Dialysis Outcomes and Practice Patterns Study (PDOPPS), we have been able to describe some initial significant sex disparities in several important PD outcomes.

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)0.006
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.291
Teacher spread0.271 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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