Peritonitis Caused by Veillonella Species and Eggerthella lenta in Peritoneal Dialysis
Bibliographic record
Abstract
COrrESPONDENCEsets were replaced, these patients had a smooth CAPD course.In these patients, the crystallization in the transfer sets was discovered in different seasons (Table 1).The crystals were dissolved in distilled water and tested with a urine dipstick, which showed a positive reaction for glucose (data not shown).This glucose reaction might support our hypothesis that the crystals are probably deposits from components of the dialysate that had lain for a period of time in the transfer set (Figure 2).However, that hypothesis cannot explain why the crystallization happened in the transfer set, and not in dialysate bags.We also hypothesize that the length of the transfer set (40 cm) might, because of being immobilized in a curved position in the pouch of the abdominal binder (Figure 1), have led to gradients forming in the contents of the dialysate during the training period, becoming crystal-like material.The varying extent of the crystallization in the transfer set (Figure 2) might support our second hypothesis that the curve is a precipitating factor for crystallization.The yellowish-brown crystals might be related to glucose degradation products.Although further cases and studies are necessary to investigate the mechanism of crystallization in transfer sets, we suggest that frequent flushing of the drain system during the CAPD training period, approximately once every 1 -2 weeks, might avoid crystallization in the transfer set.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".