Is Normal Saline Harmful to the Peritoneum?
Bibliographic record
Abstract
BACKGROUND: Normal saline (0.9% NaCl) is used during various abdominal surgical interventions and during peritoneal dialysis to rinse the peritoneal cavity. Although no clear clinical evidence exists for the bioincompatibility of normal saline, various experimental studies have suggested that 0.9% NaCl solution can initiate fibrosis of peritoneum. MATERIAL AND METHODS: We review the data derived from in vitro and in vivo experimental studies demonstrating the cytotoxic effect of 0.9% NaCl and its ability to initiate peritoneal adhesions. RESULTS: Normal saline reduces the viability and fibrinolytic activity of peritoneal mesothelial cells. Use of normal saline to wash the peritoneal cavity during abdominal operations or after chronic peritoneal dialysis is more likely to produce adhesions than is no irrigation at all. Chronic exposure of the peritoneum to normal saline causes overgrowth of the connective tissue and formation of new blood vessels within that tissue. CONCLUSION: Normal saline is a bioincompatible solution that predisposes to the formation of peritoneal adhesions and fibrosis of the peritoneum. A 0.9% NaCl solution should therefore not be used to rinse the peritoneal cavity after interruption of peritoneal dialysis.
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.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".