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Record W2139123549 · doi:10.1097/pcc.0b013e318207096c

World Federation of Pediatric Intensive Care and Critical Care Societies: Global Sepsis Initiative*

2011· article· en· W2139123549 on OpenAlexaff
Niranjan Kissoon, Joseph A. Carcillo, V. Espinosa, Andrew Argent, Denis Devictor, Maureen A. Madden, Sunit Singhi, Edwin van der Voort, Jos M. Latour

Bibliographic record

VenuePediatric Critical Care Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineIntensive care medicineSepsisIntensive careMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: According to World Health Organization estimates, sepsis accounts for 60%-80% of lost lives per year in childhood. Measures appropriate for resource-scarce and resource-abundant settings alike can reduce sepsis deaths. In this regard, the World Federation of Pediatric Intensive Care and Critical Care Societies Board of Directors announces the Global Pediatric Sepsis Initiative, a quality improvement program designed to improve quality of care for children with sepsis. OBJECTIVES: To announce the global sepsis initiative; to justify some of the bundles that are included; and to show some preliminary data and encourage participation. METHODS: The Global Pediatric Sepsis Initiative is developed as a Web-based education, demonstration, and pyramid bundles/checklist tool (http://www.pediatricsepsis.org or http://www.wfpiccs.org). Four health resource categories are included. Category A involves a nonindustrialized setting with mortality rate <5 yrs and >30 of 1,000 children. Category B involves a nonindustrialized setting with mortality rate <5 yrs and <30 of 1,000 children. Category C involves a developing industrialized nation. In category D, developed industrialized nation are determined and separate accompanying administrative and clinical parameters bundles or checklist quality improvement recommendations are provided, requiring greater resources and tasks as resource allocation increased from groups A to D, respectively. RESULTS: In the vanguard phase, data for 361 children (category A, n = 34; category B, n = 12; category C, n = 84; category D, n = 231) were successfully entered, and quality-assurance reports were sent to the 23 participating international centers. Analysis of bundles for categories C and D showed that reduction in mortality was associated with compliance with the resuscitation (odds ratio, 0.369; 95% confidence interval, 0.188-0.724; p < .0004) and intensive care unit management (odds ratio, 0.277; 95% confidence interval, 0.096-0.80) bundles. CONCLUSIONS: The World Federation of Pediatric Intensive Care and Critical Care Societies Global Pediatric Sepsis Initiative is online. Success in reducing pediatric mortality and morbidity, evaluated yearly as a measure of global child health care quality improvement, requires ongoing active recruitment of international participant centers. Please join us at http://www.pediatricsepsis.org or http://www.wfpiccs.org.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.003

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.

Opus teacher head0.126
GPT teacher head0.394
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations163
Published2011
Admission routes1
Has abstractyes

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