Pediatric sepsis in the developing world: challenges in defining sepsis and issues in post-discharge mortality
Bibliographic record
Abstract
Matthew O Wiens,1 Elias Kumbakumba,2 Niranjan Kissoon,3 J Mark Ansermino,4 Andrew Ndamira,2 Charles P Larson51School of Population and Public Health, University of British Columbia, Vancouver, Canada; 2Department of Pediatrics, Mbarara University of Science and Technology, Mbarara, Uganda; 3Department of Pediatrics, BC Children's Hospital and University of British Columbia, Vancouver, Canada; 4Department of Anesthesia, BC Children's Hospital and University of British Columbia, Vancouver, Canada; 5Department of Pediatrics and School of Population and Public Health, University of British Columbia, Vancouver, CanadaAbstract: Sepsis represents the progressive underlying inflammatory pathway secondary to any infectious illness, and ultimately is responsible for most infectious disease-related deaths. Addressing issues related to sepsis has been recognized as an important step towards reducing morbidity and mortality in developing countries, where the majority of the 7.5 million annual deaths in children under 5 years of age are considered to be secondary to sepsis. However, despite its prevalence, sepsis is largely neglected. Application of sepsis definitions created for use in resource-rich countries are neither practical nor feasible in most developing country settings, and alternative definitions designed for use in these settings need to be established. It has also been recognized that the inflammatory state created by sepsis increases the risk of post-discharge morbidity and mortality in developed countries, but exploration of this issue in developing countries is lacking. Research is urgently required to characterize better this potentially important issue.Keywords: children, pediatric sepsis, developing countries
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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 | 0.061 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.013 |
| 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".