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Record W2140926229 · doi:10.4212/cjhp.v66i6.1305

Trimethoprim–Sulfamethoxazole for Treatment of Stenotrophomonas maltophilia Pneumonia in a Neonate

2013· article· en· W2140926229 on OpenAlexaffvenue
Karen Leask Ryan, Deonne Dersch‐Mills, Deborah Clark

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsAlberta Health ServicesAlberta Children's Hospital
Fundersnot available
KeywordsStenotrophomonas maltophiliaPneumoniaMedicineTrimethoprimSulfamethoxazoleMeningitisPopulationBacteremiaIntensive care medicineImmunologyAntibioticsMicrobiologyPediatricsPseudomonas aeruginosaInternal medicineBiologyBacteria

Abstract

fetched live from OpenAlex

Neonates are susceptible to numerous infections. Factors that predispose these patients to nosocomial infections include very low birth weight, small size for gestational age, immunologic immaturity, and exposure to invasive procedures, including insertion of intravascular catheters and assisted ventilation. Stenotrophomonas maltophilia is an opportunistic, gram-negative aerobic bacillus with a high level of intrinsic resistance that is known to cause nosocomial infections. This organism may cause infections of many different systems, including bloodstream infections, urinary tract infections, meningitis, and (most commonly) pneumonia. Since neonatal patients are immunocompromised, infections with S. maltophilia are considered life-threatening in this population. There is very little evidence in the literature indicating the appropriate doses of trimethoprim–sulfamethoxazole required to treat S. maltophilia infections in neonates. This article describes a case in which trimethoprim–sulfamethoxazole was used to treat such an infection, with escalating doses used and tolerated.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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 designCase report
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

Citations10
Published2013
Admission routes2
Has abstractyes

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