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 OpenAlex
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

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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