Patient Characteristics Associated with Defects of the Peritoneal Cavity Boundary
Bibliographic record
Abstract
BACKGROUND: Conflicting literature exist regarding the patient characteristics that may confer an increased risk for anatomic complications of the peritoneal cavity boundaries. METHODS: We collected data from 75 randomly selected units in the United States and Canada, representing a total of 1864 peritoneal dialysis (PD) patients. RESULTS: 200 of these patients experienced a total of 217 anatomic complications between July 2000 and June 2001; 16 patients had more than 1 complication. Hernias comprised 60.4% of all complications: 24.9% inguinal, 18.9% umbilical, 13.8% ventral, 2.3% femoral, and 0.5% intrathoracic. Other complications included pericatheter or subcutaneous leak (25.3%), hydrothorax (6.0%), and miscellaneous (8.3%). Peritoneal dialysis modalities in use at the time of complication were automated PD (52.3%), continuous ambulatory PD (38.6%), and nocturnal intermittent PD (9.1%). The overall incidence of hernias was 7%. CONCLUSIONS: Logistic regression analysis found no association between hernias and age, body surface area, PD modality, volume of dialysate, time of largest dwell (day/upright vs night/recumbent), or type of catheter used. Cystic disease conferred a 2.5-fold increase in risk for anatomic complications (p < 0.001); female gender conferred an 80% reduction in risk (p < 0.0001), and Kt/V > or = 2.0 conferred a 52% reduction in risk (p < 0.05) for hernia.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".