Accurate bedside clinical assessment of hypertensive and 'symptomatic' hypotensive patient's intravascular volume status with hand-carried ultrasound devices in hemodialysis clinic
Bibliographic record
Abstract
The number of people diagnosed and living with kidney failure requiring dialysis in Canada has tripled in the last two decades. In center hemodialysis is a thrice-weekly treatment that attempts to remove fluid and toxins rapidly and in a short time. One of the major difficulties is determining how much fluid to remove from a patient in a given treatment as the bedside physical exam is often inaccurate. Therefore the aim of this study is to assess volume status in chronic dialysis patients by measuring the IVC diameter employing a hand-carried ultrasound. Patients with kidney failure were recruited to the study and each was scanned three times on three different dialysis sessions. Measurements of the inferior vena cava were taken pre, mid, and post dialysis sessions. Measurements of the inferior vena cava were compared to clinical surrogates of volume, which include blood pressure, symptoms, and ultrafiltration removed. The student learnt ultrasound techniques to scan for the inferior vena cava, as well, he learnt basic research and statistical skills in order to assess the reliability and feasibility of using hand-carried ultrasound in clinical practice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".