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Record W4397045732 · doi:10.1681/asn.20233411s150c

CKD-Associated Pruritus: Prevalence and Association with Quality of Life for Peritoneal Dialysis Patients, International Results from PDOPPS

2023· article· en· W4397045732 on OpenAlexaffabout
Karthik Tennankore, Jeffrey Perl, Ronald L. Pisoni, David W. Johnson, Talerngsak Kanjanabuch, Hideki Kawanishi, Yong-Lim Kim, Mark Lambie, Jenny I. Shen, Yeoungjee Cho, Claudio Rigatto, Keith McCullough

Bibliographic record

VenueJournal of the American Society of Nephrology · 2023
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsOrthopaedic Innovation CentreSt. Michael's HospitalDalhousie University
Fundersnot available
KeywordsPeritoneal dialysisMedicineQuality of life (healthcare)DialysisInternal medicineKidney diseaseIntensive care medicine

Abstract

fetched live from OpenAlex

Background: Chronic kidney disease associated pruritus (CKD-aP) is associated with morbidity. The prevalence and burden of CKD-aP in peritoneal dialysis (PD) is not well-known. We sought to determine the CKD-aP prevalence, identify factors associated with a high severity of CKD-aP and the impact of CKD-aP on quality of life (QOL) among patients in the Peritoneal Dialysis Outcomes and Practice Patterns Study (PDOPPS). Methods: We analyzed cross-sectional data on QOL and CKD-aP from PDOPPS patients from Australia, Canada, Japan, New Zealand, Republic of South Korea, Thailand, the UK, and US between 2014-22. CKD-aP severity in the preceding 4 weeks was self-rated by patients using a 5-point Likert scale from 1: “Not at all bothered by itch” to 5: “Extremely bothered by itch”. Factors associated with CKD-aP 3-5 (moderate to extreme) v. 1-2 were analyzed using logistic regression. Adjusted linear regressions were used to compare CKD-aP and QOL, assessed using the physical and mental component summary scores (PCS and MCS) of the 12-item Short-Form (SF-12) on the same questionnaire. Results: 43% of the 5534 patients reported moderate to extreme itch; ranging from 50% and 49% (Thailand and the UK, respectively), to 32% (the US). Adjusted logistic regression revealed several parameters associated with CKD-aP (Figure 1). MCS and PCS were negatively associated with increasing CKD-aP severity (p < 0.0001). Conclusions: Worldwide, CKD-aP is highly prevalent among PD patients and associated with poor quality of life. Efforts to better identify and manage CKD-aP for PD patients are urgently needed. Funding: Other NIH Support - Agency for Healthcare Research and Quality (AHRQ), Commercial Support - Amgen Inc (since 1996, founding sponsor) Akebia Therapeutics, Inc. Astellas Pharma Inc. Bard Peripheral Vascular, Inc. Baxter Healthcare Corp Bayer AG & Bayer Yakuhin, Ltd. Cara Therapeutics, Inc. Chugai Pharmaceutical Co., Ltd. GlaxoSmithKline LLC Japanese Society for Peritoneal Dialysis (JSPD) JMS Co., Ltd. Kidney Foundation Japan (KFJ) Kissei Pharmaceutical Co., Ltd. Kyowa Kirin Co., Ltd. (since 1999 for Japan DOPPS) Merck Sharp & Dohme Corp Nikkiso Co., Ltd. ONO Pharmaceutical Co., Ltd. Terumo Corporation Torii Pharmaceutical Co., Ltd. CSL-Vifor, Ltd., Government Support - Non-U.S.

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)0.003
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.018
GPT teacher head0.295
Teacher spread0.277 · 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
Published2023
Admission routes2
Has abstractyes

Explore more

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