Comparison of Balanced Crystalloid Solutions: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Bibliographic record
Abstract
OBJECTIVE: To summarize the evidence comparing various balanced crystalloid solutions. DATA SOURCES: We searched MEDLINE, EMBASE, PUBMED, and CENTRAL databases. STUDY SELECTION: We included randomized controlled trials that directly compared the IV administration of one balanced crystalloid solution with another. DATA EXTRACTION AND ANALYSIS: We examined metabolic and patient-important outcomes and conducted meta-analysis using random effects model. For comparisons or outcomes with insufficient data to allow for pooling, we describe results narratively. We assessed risk of bias for individual trials using the Cochrane risk of bias tool and certainty of evidence using Grading of Recommendations, Assessment, Development and Evaluations methodology. DATA SYNTHESIS: We included 24 randomized controlled trials comparing Plasmalyte, Ringer's Lactate, Ringerfundin, Hartmann's solution, Ringer's Bicarbonate, Sterofundin, Kabilyte, Normosol, and novel balanced solutions. Of the included studies, 16 were performed in the perioperative setting, six in the ICU, one in the emergency department, and one in healthy volunteers. Administration of Plasmalyte resulted in a lower postinfusion serum chloride concentration (mean difference, 0.83 mmol/L lower; 95% CI, 0.03-1.64 mmol/L lower, low certainty), higher postinfusion base excess (mean difference, 0.65 mmol/L higher, 95% CI, 0.25-1.05 mmol/L higher, low certainty), and lower postinfusion serum lactate levels (mean difference, 0.46 mmol/L lower; 95% CI, 0.05-0.87 mmol/L lower, low certainty) compared with administration of any other balanced crystalloid. There were no important differences in postinfusion serum pH or potassium when comparing Plasmalyte with other balanced crystalloids. Data addressing other comparisons or examining the impact of different balanced crystalloids on patient-important outcomes were sparsely reported and too heterogeneous to allow for pooling. CONCLUSIONS: Administration of Plasmalyte results in lower serum concentrations of chloride and lactate, and higher base excess than other balanced crystalloids. The certainty of evidence is low and requires further study in large randomized controlled trials to inform the choice of balanced crystalloid in patients requiring volume replacement.
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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 | 0.029 | 0.080 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.034 | 0.037 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".