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Record W4309075528 · doi:10.1016/j.rmcr.2022.101772

Nebulized levofloxacin for chronic Burkholderia cenocepacia pulmonary infection in cystic fibrosis: A case report

2022· article· en· W4309075528 on OpenAlexafffund
Renée Dagenais, Bradley S. Quon, Alessandro N. Franciosi

Bibliographic record

VenueRespiratory Medicine Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsUniversity of British ColumbiaSt. Paul's Hospital
FundersMichael Smith Health Research BC
KeywordsLevofloxacinMedicineBurkholderia cenocepaciaBurkholderia cepacia complexCystic fibrosisPulmonary function testingTobramycinPopulationBurkholderiaInternal medicineAntibioticsMicrobiologyBacteria

Abstract

fetched live from OpenAlex

We present a patient with cystic fibrosis who used nebulized levofloxacin off-label to suppress chronic Burkholderia cenocepacia pulmonary infection. The patient was initially using tobramycin inhalation powder (TIP) off-label continuously for suppression of chronic B. cenocepacia; this was changed to alternating months of nebulized levofloxacin and TIP. Following initiation of nebulized levofloxacin, the patient had significant improvement in respiratory symptom burden and lung function (as measured by forced expiratory volume in 1 second [FEV1]), and a decrease in the frequency of pulmonary exacerbations. Further research is necessary to determine whether the benefits observed with nebulized levofloxacin in our patient translate to a larger population of patients with chronic Burkholderia spp. pulmonary infection.

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)0.004
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 score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0080.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.348
Teacher spread0.313 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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