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Record W2415516494 · doi:10.1097/pcc.0000000000000513

Corticosteroids in Pediatric Shock

2015· article· en· W2415516494 on OpenAlexaff
Kusum Menon, Hector R. Wong

Bibliographic record

VenuePediatric Critical Care Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersNational Institute of General Medical Sciences
KeywordsMedicineSeptic shockIntensive care medicineHarmSepsisRandomized controlled trialPopulationMEDLINEShock (circulatory)PediatricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify the issues needing to be resolved to design, implement, and complete a definitive randomized controlled trial of adjunctive corticosteroid use in children with septic shock. DESIGN: Pediatric studies from MEDLINE (1946 to January 2015) and Embase (1947 to January 2015) that addressed adrenal function or steroid use in critically ill children with systemic inflammatory response syndrome, sepsis, or septic shock were reviewed and their relevant points discussed. RESULTS: There is considerable interest in the field of corticosteroids in pediatric septic shock, which has not as yet translated into a much needed randomized controlled trial. We found that the issues that need to be resolved include identification of the target population, achievement of individual and community equipoise, selection of a patient centered, clinically meaningful primary outcome measure, and consideration of the adverse effects of corticosteroids. CONCLUSIONS: We strongly believe that the time has come to conduct a trial on the use of corticosteroids in pediatric septic shock and that the question to be answered is Will corticosteroids given to children with septic shock result in a benefit to some patients without resulting in harm to others? Answering this question will require a collaborative and committed effort on the parts of ethics boards, families, clinicians, and researchers to actually make it happen once and for all, and we propose an international planning meeting of interested parties to achieve agreement on these identified issues.

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 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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.344
Teacher spread0.304 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations17
Published2015
Admission routes1
Has abstractyes

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