A Review of the True Methodological Quality of Nutritional Support Trials Conducted in the Critically Ill: Time for Improvement
Bibliographic record
Abstract
In Brief In this review we sought to appraise the true methodological quality of nutritional support studies conducted in critically ill patients and to compare these findings to the methodological quality of sepsis trials. An extensive literature search revealed 111 randomized controlled trials conducted in critically ill patients evaluating the impact of nutritional support interventions on clinically meaningful outcomes. Compared with sepsis trials, nutritional support studies were significantly less likely to use blinding (32 of 40 versus 35 of 111, P < 0.001) or present an intention-to-treat analysis (37 of 40 versus 64 of 111, P < 0.001). There was a trend toward the less frequent use of randomization methods that are known to maintain allocation concealment (12 of 40 versus 19 of 111, P = 0.10). Although nutritional support studies demonstrated a significant increase in the use of blinding after the publication of the CONSORT statement in 1996 (9 of 47 versus 26 of 64 post-CONSORT, P = 0.023), there were no improvements in other key areas. Previous publications have described the overall methodological quality of sepsis trials as “poor.” Nutritional support studies were significantly worse than sepsis trials in all aspects of methodological quality, and there were few improvements noted over time. To detect important differences in clinically meaningful outcomes in critical care, the methodological quality of future studies must be improved. IMPLICATIONS: The true methodological quality of feeding studies conducted in critically ill patients was assessed. The quality of feeding studies was consistently rated worse than sepsis trials, which have previously been described as “poor.” To reliably detect differences in clinically meaningful outcomes, the quality of future feeding studies must be improved.
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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 | 0.185 | 0.462 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.010 | 0.011 |
| Bibliometrics | 0.012 | 0.015 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".