A Systematic Review of Donor Serum Sodium Level and Its Impact on Transplant Recipients.
Bibliographic record
Abstract
BACKGROUND: An important aspect of donor management is the optimization of serum sodium levels. OBJECTIVE: To perform a systematic review to determine the effects of donor sodium levels on heart, lung, kidney, and pancreas graft function, recipient mortality, and to identify the optimal donor serum sodium target. METHODS: We searched MEDLINE, Cochrane, Guideline databases, and trial registries from 1946 to May 2019 for studies investigating the effects of donor serum sodium levels on transplant outcomes in all non-hepatic organs. A two-step independent review process was used to identify relevant articles based on inclusion/exclusion criteria. We describe the results narratively, assess the risk of bias, and apply GRADE methodology to evaluate the certainty in the evidence. RESULTS: We included 18 cohort studies in our final analysis (n=28,007). 3 of 4 studies demonstrated an association between donor serum sodium and successful organ transplantation. 5 studies reported no association with graft function, while 6 studies did. 5 studies reported on recipient survival, 3 of which suggested donor sodium is unlikely to be associated with recipient survival. The included studies had serious risk of bias, and the certainty in evidence was deemed to be very low. CONCLUSION: In low risk of bias studies, donor sodium dysregulation is unlikely to affect kidney graft function or mortality of heart and kidney recipients, but the certainty in the evidence is very low due to inconsistency and imprecision. Further research is required to refine the serum sodium target range, quantify the dose-response curve, and identify organs most vulnerable to sodium dysregulation.
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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 | 0.015 | 0.078 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.010 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".