MétaCan
Menu
Back to cohort
Record W2901736077 · doi:10.1097/pec.0000000000001639

Test Characteristics of Cerebrospinal Fluid Gram Stain to Identify Bacterial Meningitis in Infants Younger Than 60 Days

2018· article· en· W2901736077 on OpenAlexaff
Fran Balamuth, Andrea T. Cruz, Stephen B. Freedman, Paul Ishimine, Aris Garro, Sarah Curtis, Kendra L. Grether-Jones, Aaron S. Miller, Neil G. Uspal, Suzanne M. Schmidt, Samir S. Shah, Lise E. Nigrovic

Bibliographic record

VenuePediatric Emergency Care · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsStollery Children's HospitalWomen and Children’s Health Research InstituteUniversity of Calgary
Fundersnot available
KeywordsMedicineGram stainingOverdiagnosisCerebrospinal fluidConfidence intervalMeningitisGramMicrobiological cultureStainBacterial meningitisInternal medicineGastroenterologyPathologyPediatricsAntibioticsStainingMicrobiologyBacteria

Abstract

fetched live from OpenAlex

ABSTRACT: In our cohort of 20,947 infants aged 60 days or younger, cerebrospinal fluid Gram stain had a sensitivity of 34.3% (95% confidence interval, 28.1%-41.1%) and a positive predictive value of 61.4% (95% confidence interval, 52.2%-69.8%) for positive cerebrospinal fluid culture, suggesting that Gram stain alone may lead to both underdiagnosis and overdiagnosis of bacterial meningitis.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.283
Teacher spread0.272 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuePediatric Emergency CareSame topicBacterial Infections and VaccinesFrench-language works237,207