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Late‐onset <i>Leclercia adecarboxylata</i> bacteraemia in a premature infant in the NICU

2011· review· en· W2161078056 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

VenueActa Paediatrica · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnterobacteriaceae and Cronobacter Research
Canadian institutionsFoothills Medical CentreAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineSepsisCefotaximeAntibioticsContext (archaeology)Intensive care medicinePediatricsNeonatal sepsisNeonatal intensive care unitGentamicinSurgeryMicrobiology

Abstract

fetched live from OpenAlex

UNLABELLED: Late-onset sepsis is a unique entity in the neonatal intensive care unit (NICU), as organisms involved are, by definition, nosocomial. As such, a limited number of microbes are characteristically involved. Leclercia adecarboxylata is a gram-negative bacillus rarely cultured in a clinical context, with the few published cases primarily involving immunocompromised adults. We present an ex-26-week newborn girl who developed late-onset sepsis with Leclercia adecarboxylata bacteraemia in the NICU. The infection was successfully treated with gentamicin and cefotaxime. This is the fifth paediatric report of Leclercia adecarboxylata infection, and the first in a neonate. The case raises the possibility that prior courses of antibiotics may have predisposed this individual to a rare infection essentially limited to immunocompromised individuals. CONCLUSION: Leclercia adecarboxylata is a rare infection, particularly in immunocompetent individuals. In neonates, the clinical course can be good with timely initiation of appropriate antibiotics.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.299
Teacher spread0.274 · 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