Establishing a peritoneal dialysis technique survival core outcome measure: A standardised outcomes in nephrology-peritoneal dialysis consensus workshop report
Bibliographic record
Abstract
BackgroundTechnique survival, also reported with negative connotations as technique failure or transfer from peritoneal dialysis to haemodialysis, has been identified by patients, caregivers and health professionals as a critically important outcome to be reported in all trials. However, there is wide variation in how peritoneal dialysis technique survival is defined, measured and reported, leading to difficulty in comparing or consolidating results.MethodsWe conducted an online international consensus workshop to establish a core outcome measure of technique survival. Discussions were analysed thematically.ResultsFifty-five participants including 14 patients and caregivers from 13 countries took part in facilitated breakout discussions using video-conferencing. The following themes were identified: capturing important aspects of the outcome (requiring a core event to define the outcome, distinguishing temporary from permanent events, recognising heterogeneous experiences of transfers), adopting appropriate neutral nomenclature (conveying with clarity, avoiding negative connotations), and ensuring feasibility and applicability (capturing data relevant to clinical and research settings, ease of adoption). The suggested definitions for the core outcome measure were 'the event of a transfer to haemodialysis', or 'discontinuation of peritoneal dialysis'. Applying the principles described within the workshop, defining the outcome measure as a 'transfer to haemodialysis' was preferable.ConclusionsIt is proposed that the core outcome of technique survival is redefined as 'transfer to haemodialysis' and that its components are standardised using simple, neutral terminology Components considered important by stakeholders included recording the reasons for transfer from peritoneal dialysis, and focussing on permanent events whilst ensuring the outcome remains easy to implement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.342 | 0.268 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.009 | 0.023 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".