Epidemiology and Outcomes of Pediatric Multiple Organ Dysfunction Syndrome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To summarize the epidemiology and outcomes of children with multiple organ dysfunction syndrome as part of the Eunice Kennedy Shriver National Institute of Child Health and Human Development multiple organ dysfunction syndrome workshop (March 26-27, 2015). DATA SOURCES: Literature review, research data, and expert opinion. STUDY SELECTION: Not applicable. DATA EXTRACTION: Moderated by an experienced expert from the field, issues relevant to the epidemiology and outcomes of children with multiple organ dysfunction syndrome were presented, discussed, and debated with a focus on identifying knowledge gaps and research priorities. DATA SYNTHESIS: Summary of presentations and discussion supported and supplemented by the relevant literature. CONCLUSIONS: A full understanding the epidemiology and outcome of multiple organ dysfunction syndrome in children is limited by inconsistent definitions and populations studied. Nonetheless, pediatric multiple organ dysfunction syndrome is common among PICU patients, occurring in up to 57% depending on the population studied; sepsis remains its leading cause. Pediatric multiple organ dysfunction syndrome leads to considerable short-term morbidity and mortality. Long-term outcomes of multiple organ dysfunction syndrome in children have not been well studied; however, studies of adults and children with other critical illnesses suggest that the risk of long-term adverse sequelae is high. Characterization of the long-term outcomes of pediatric multiple organ dysfunction syndrome is crucial to identify opportunities for improved treatment and recovery strategies that will improve the quality of life of critically ill children and their families. The workshop identified important knowledge gaps and research priorities intended to promote the development of standard definitions and the identification of modifiable factors related to its occurrence and outcome.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it