Design and participant baseline characteristics of ‘A <scp>C</scp>linical <scp>T</scp>rial of <scp>IntensiVE D</scp>ialysis’: The <scp>ACTIVE D</scp>ialysis <scp>S</scp>tudy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIMS: Observational reports suggest extended dialysis hours are associated with improved outcomes. These findings are confounded by better prognostic characteristics among people practising extended hours. The aim of this article is to provide an overview of the methods and baseline characteristics for ACTIVE Dialysis Study participants. METHODS: This multicentre, randomized, open-label, blinded endpoint-assessment trial randomized participants receiving maintenance haemodialysis therapy to either extended (≥24 h) or standard (12-18 h) weekly haemodialysis for 12 months. A web-based randomization system used minimization to ensure balanced allocation across regions, dialysis setting and dialysis vintage. The primary outcome is the change in quality of life over 12 months of study treatment assessed by EQ-5D. Secondary outcomes include change in left ventricular mass index assessed by magnetic resonance imaging and safety outcomes including dialysis access events. RESULTS: A total of 200 participants were recruited between 2009 and 2013 from Australia (29.0%), China (62.0%), Canada (5.5%) and New Zealand (3.5%). Participants had a mean age of 52 (± 12) years and 11.5% were dialysing at home, with a mean duration of 13.9 h per week over a median of three sessions. At baseline, 32.5% had a history of cardiovascular disease and 36.5% had diabetes. CONCLUSION: The ACTIVE Dialysis Study has met its planned recruitment target. The participant population are drawn from a range of health service settings in a global context. The study will contribute important evidence on the benefits and harms of extending weekly dialysis hours. The trial is registered at clinicaltrials.gov (NCT00649298).
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.065 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it