The Efficacy of Glutamine Supplementation in Severe Adult Burn Patients: A Systematic Review With Trial Sequential Meta-Analysis
Bibliographic record
Abstract
OBJECTIVES: Evidence supporting glutamine supplementation in severe adult burn patients has created a state of uncertainty due to the variability in the treatment effect reported across small and large randomized controlled trials (RCTs). We aimed to systematically review the effect of glutamine supplementation on mortality in severe adult burn patients. DATA SOURCES: MEDLINE, Embase, CINAHL, and Cochrane Central were searched from inception to February 10, 2023. STUDY SELECTION: RCTs evaluating the effect of enteral or IV glutamine supplementation alone in severe adult burn patients were included. DATA EXTRACTION: Two reviewers independently extracted data on study characteristics, burn injury characteristics, description of the intervention between groups, adverse events, and clinical outcomes. DATA SYNTHESIS: Random effects meta-analyses were performed to estimate the pooled risk ratio (RR). Trial sequential analyses (TSA) for mortality and infectious complications were performed. Ten RCTs (1,577 patients) were included. We observed no significant effect of glutamine supplementation on overall mortality (RR, 0.65, 95% CI, 0.33-1.28; p = 0.21), infectious complications (RR, 0.83; 95% CI, 0.63-1.09; p = 0.18), or other secondary outcomes. In subgroup analyses, we observed no significant effects based on administration route or burn severity. We did observe a significant subgroup effect between single and multicenter RCTs in which glutamine significantly reduced mortality and infectious complications in singe-center RCTs but not in multicenter RCTs. However, TSA showed that the pooled results of single-center RCTs were type 1 errors and further trials would be futile. CONCLUSIONS: Glutamine supplementation, regardless of administration, does not appear to improve clinical outcomes in severely adult burned patients.
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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 | 0.022 | 0.054 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.029 | 0.036 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".