MétaCan
Menu
Back to cohort
Record W3034649032 · doi:10.1097/cce.0000000000000123

Pediatric Sepsis Definition—A Systematic Review Protocol by the Pediatric Sepsis Definition Taskforce

2020· review· en· W3034649032 on OpenAlexaff
Kusum Menon, Luregn J. Schlapbach, Samuel Akech, Andrew C. Argent, Kathleen Chiotos, Mohammod Jobayer Chisti, Jemila S. Hamid, Paul Ishimine, Niranjan Kissoon, Rakesh Lodha, Cláudio Flauzino de Oliveira, Mark Peters, Pierre Tissières, R. Scott Watson, Matthew O. Wiens, James L. Wynn, Lauren R. Sorce

Bibliographic record

VenueCritical Care Explorations · 2020
Typereview
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsBC Children's HospitalUniversity of British ColumbiaChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersCenter for Child Health, Behavior and DevelopmentFeinberg School of MedicineNorthwestern UniversityUniversity of QueenslandUniversity of Cape TownNational Institute of General Medical SciencesChildren’s Hospital of Wisconsin Research InstituteSeattle Children's Research Institute
KeywordsMedicineSepsisIntensive care medicineMEDLINEData extractionProtocol (science)PopulationOrgan dysfunctionClinical trialPediatricsInternal medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVES: Sepsis is responsible for a substantial proportion of global childhood morbidity and mortality. However, evidence demonstrates major inaccuracies in the use of the term "sepsis" in clinical practice, coding, and research. Current and previous definitions of sepsis have been developed using expert consensus but the specific criteria used to identify children with sepsis have not been rigorously evaluated. Therefore, as part of the Society of Critical Care Medicine's Pediatric Sepsis Definition Taskforce, we will conduct a systematic review to synthesize evidence on individual factors, clinical criteria, or illness severity scores that may be used to identify children with infection who have or are at high risk of developing sepsis-associated organ dysfunction and separately those factors, criteria, and scores that may be used to identify children with sepsis who are at high risk of progressing to multiple organ dysfunction or death. DATA SOURCES: We will identify eligible studies by searching the following databases: MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials. STUDY SELECTION: We will include all randomized trials and cohort studies published between January 1, 2004, and March 16, 2020. DATA EXTRACTION: Data extraction will include information related to study characteristics, population characteristics, clinical criteria, and outcomes. DATA SYNTHESIS: We will calculate sensitivity and specificity of each criterion for predicting sepsis and conduct a meta-analysis if the data allow. We will also provide pooled estimates of overall hospital mortality. CONCLUSIONS: The potential risk factors, clinical criteria, and illness severity scores from this review which identify patients with infection who are at high risk of developing sepsis-associated organ dysfunction and/or progressing to multiple organ dysfunction or death will be used to inform the next steps of the Pediatric Sepsis Definition Taskforce.

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)0.045
metaresearch head score (Gemma)0.067
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: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.060
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.067
Meta-epidemiology (narrow)0.0070.005
Meta-epidemiology (broad)0.0250.015
Bibliometrics0.0220.024
Science and technology studies0.0030.004
Scholarly communication0.0080.007
Open science0.0070.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0600.007

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 head0.243
GPT teacher head0.437
Teacher spread0.193 · 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
GenreProtocol

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

Citations64
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCritical Care ExplorationsSame topicSepsis Diagnosis and TreatmentFrench-language works237,207