Critical Care Ultrasonography for Volume Management: A Systematic Review, Meta-Analysis, and Trial Sequential Analysis of Randomized Trials
Bibliographic record
Abstract
OBJECTIVES: To determine the safety and efficacy of critical care ultrasonography (CCUS) guided volume management in acutely ill patients. DATA SOURCES: We searched MEDLINE, Embase, Wiley CENTRAL, and unpublished sources from inception to February 6, 2024. STUDY SELECTION: We included randomized controlled trials (RCTs) of acutely ill adult patients randomized to receive CCUS as compared with no CCUS to guide fluid management. DATA EXTRACTION: Reviewers screened abstracts, full texts, and extracted data independently and in duplicate. We pooled data using a random-effects model, assessed the risk of bias using the modified Cochrane tool and assessed the certainty of evidence using the Grading Recommendations Assessment, Development, and Evaluation approach. DATA SYNTHESIS: We included 17 RCTs (n = 1765 patients) in this review. Pooled analyses found that the use of CCUS for volume management in acutely ill patients may decrease mortality at the longest reported time period (relative risk [RR], 0.79; 95% CI, 0.67-0.95; low certainty) and decreases the fluid balance up to 72 hours after admission (mean difference [MD], 0.72 L lower; 95% CI, 1.5 L lower to 0.07 L higher; low certainty). CCUS had an uncertain effect on duration of mechanical ventilation (MD, 1.14 d fewer; 95% CI, 3.35 d fewer to 1.07 d more; very low certainty), ICU length of stay (LOS) (MD, 0.01 d fewer; 95% CI, 1.12 d fewer to 1.09 d more; very low certainty), the need for vasopressors (RR, 0.39; 95% CI, 0.10-1.62; very low certainty), acute kidney injury (AKI) (RR, 0.94; 95% CI, 0.32-2.72; very low certainty), and the need for renal replacement therapy (RRT) (RR, 0.79; 95% CI, 0.17-3.66; very low certainty). CONCLUSIONS: In acutely ill adult patients, CCUS for the use of targeted volume management may reduce mortality and fluid balance up to 72 hours after admission. CCUS has an uncertain effect on ICU LOS, duration of mechanical ventilation, duration of vasopressor use, AKI, and the need for RRT. However, this evidence is limited by imprecision and indirectness.
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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 | 0.040 | 0.111 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.031 | 0.035 |
| Bibliometrics | 0.007 | 0.007 |
| 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".