Low serum albumin a predictor sign of the incidence of peritoneal dialysis-associated peritonitis? A quasi-systematic review
Bibliographic record
Abstract
Peritonitis is associated with an increasing morbidity and mortality rate in peritoneal dialysis patients. A number of peritonitis cases result in hypoalbuminemia, and in other cases, peritonitis follows a decline in the serum albumin level. However, it is not clear whether the level of serum albumin can be utilized to predict and prevent the incidence of peritonitis. A quasi-systematic search of the literature was conducted in the following databases: Cochrane, EBSCO, ProQuest, AHMED, CINHAL, MEDLINE, and EMBASE, from January 2008 to January 2018. The data was reviewed and extracted from each study. The quality of the studies was assessed using the Critical Appraisal Skills Programme and the Newcastle-Ottawa Scale. Six articles met the stated inclusion criteria of the quasi-systematic review. The study found a significant correlation between a low serum albumin level at the start of continuous ambulatory peritoneal dialysis (CAPD) and the development of peritonitis. Thus, hypoalbuminemia can be utilized as a warning sign of the occurrence of peritonitis in CAPD. Consequently, immediate intervention is required when the level of serum albumin declines in order to prevent peritonitis.
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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 | 0.008 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".