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Record W2912395791 · doi:10.3747/pdi.2017.00242

Transition between Different Renal Replacement Modalities: Gaps in Knowledge and Care—the Integrated Research Initiative

2019· review· en· W2912395791 on OpenAlexaff
Christopher T. Chan, Gill Combes, Simon Davies, Fred Finkelstein, Catherine Firanek, Rafael Gómez, Kitty J. Jager, Vivek Jha George, David W. Johnson, Mark Lambie, Magdalena Madero, Ikuto Masakane, Stephen P. McDonald, Madhukar Misra, Sandip Mitra, Thyago Proença de Moraes, Annie-Claire Nadeau-Fredette, Purna Mukhopadhyay, Jeff Perl, Ronald L. Pisoni, Bruce Robinson, Dong‐Ryeol Ryu, Rajiv Saran, James A. Sloand, Nidhi Sukul, Allison Tong, Cheuk‐Chun Szeto, Wim Van Biesen

Bibliographic record

VenuePeritoneal Dialysis International · 2019
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-RosemontUniversity Health Network
FundersU.S. National Library of Medicine
KeywordsModalitiesMedicineRenal replacement therapyIntensive care medicineScope (computer science)DialysisPeritoneal dialysisHealth careKidney diseaseTreatment modalityInternal medicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

Patients with end-stage kidney disease (ESKD) have different options to replace the function of their failing kidneys. The "integrated care" model considers treatment pathways rather than individual renal replacement therapy (RRT) techniques. In such a paradigm, the optimal strategy to plan and enact transitions between the different modalities is very relevant, but so far, only limited data on transitions have been published. Perspectives of patients, caregivers, and health professionals on the process of transitioning are even less well documented. Available literature suggests that poor coordination causes significant morbidity and mortality.This review briefly provides the background, development, and scope of the INTErnational Group Research Assessing Transition Effects in Dialysis (INTEGRATED) initiative. We summarize the literature on the transition between different RRT modalities. Further, we present an international research plan to quantify the epidemiology and to assess the qualitative aspects of transition between different modalities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.124
GPT teacher head0.422
Teacher spread0.298 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations36
Published2019
Admission routes1
Has abstractyes

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