Geo-economic Influence on the Effect of Fluid Volume for Sepsis Resuscitation: A Meta-Analysis
Bibliographic record
Abstract
Abstract Rationale Sepsis management relies on fluid resuscitation avoiding fluid overload and its related organ congestion. Objectives To explore the influence of country income group on risk–benefit balance of fluid management strategies in sepsis. Methods We searched e-databases for all randomized controlled trials on fluid resuscitation in patients with sepsis or septic shock up to January 2023, excluding studies on hypertonic fluids, colloids, and depletion-based interventions. The effect of fluid strategies (higher versus lower volumes) on mortality was analyzed per income group (i.e., low- and middle-income countries [LMICs] or high-income countries [HICs]). Measurements and Main Results Twenty-nine studies (11,798 patients) were included in the meta-analysis. There was a numerically higher mortality in studies of LMICs as compared with those of HICs: median, 37% (interquartile range [IQR]: 26–41) versus 29% (IQR: 17–38; P = 0.06). Income group significantly interacted with the effect of fluid volume on mortality: Higher fluid volume was associated with higher mortality in LMICs but not in HICs: odds ratio (OR), 1.47; 95% confidence interval (95% CI): 1.14–1.90 versus 1.00 (95% CI: 0.87–1.16), P = 0.01 for subgroup differences. Higher fluid volume was associated with increased need for mechanical ventilation in LMICs (OR, 1.24 [95% CI: 1.08–1.43]) but not in HICs (OR, 1.02 [95% CI: 0.80–1.29]). Self-reported access to mechanical ventilation also significantly influenced the effect of fluid volume on mortality, which increased with higher volumes only in settings with limited access to mechanical ventilation (OR: 1.45 [95% CI: 1.09–1.93] vs. 1.09 [95% CI: 0.93–1.28], P = 0.02 for subgroup differences). Conclusions In sepsis trials, the effect of fluid resuscitation approach differed by setting, with higher volume of fluid resuscitation associated with increased mortality in LMICs and in settings with restricted access to mechanical ventilation. The precise reason for these differences is unclear and may be attributable in part to resource constraints, participant variation between trials, or other unmeasured factors.
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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 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.054 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".