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Record W2137215362 · doi:10.1086/422254

Diagnostic and Prognostic Implications of Endotoxemia in Critical Illness: Results of the MEDIC Study

2004· article· en· W2137215362 on OpenAlex

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

VenueThe Journal of Infectious Diseases · 2004
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsSunnybrook Health Science CentreSt. Joseph’s Healthcare HamiltonMcMaster UniversitySt. Joseph's HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineIntensive care unitSepsisInternal medicineLogistic regressionRespiratory systemCohortStepwise regressionGastroenterologyImmunology

Abstract

fetched live from OpenAlex

A novel assay for endotoxin, based on the ability of antigen-antibody complexes to prime neutrophils for an augmented respiratory burst response, was studied in a cohort study of 857 patients admitted to an intensive-care unit (ICU). On the day of ICU admission, 57.2% of patients had either intermediate (>or=0.40 endotoxin activity [EA] units) or high (>or=0.60 units) EA levels. Gram-negative infection was present in 1.4% of patients with low EA levels, 4.9% with intermediate levels, and 6.9% with high levels; EA had a sensitivity of 85.3% and a specificity of 44.0% for the diagnosis of gram-negative infection. Rates of severe sepsis were 4.9%, 9.2%, and 13.2%, and ICU mortality was 10.9%, 13.2%, and 16.8% for patients with low, intermediate, and high EA levels, respectively. Stepwise logistic regression analysis showed that elevated Acute Physiology and Chronic Health Evaluation II score, gram-negative infection, and emergency admission status were independent predictors of EA.

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)0.008
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 score0.008
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.034
GPT teacher head0.354
Teacher spread0.321 · 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