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Record W2462915546 · doi:10.1093/ofid/ofw147

Preliminary Evaluation of a Sitafloxacin-Containing Regimen for Relapsed or Refractory Pulmonary Mycobacterium avium Complex Disease

2016· article· en· W2462915546 on OpenAlexfundno aff
Kohei Fujita, Masaki Fujita, Yutaka Ito, Toyohiro Hirai, Tadashi Mio, Kentaro Watanabe, Michiaki Mishima

Bibliographic record

VenueOpen Forum Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsnot available
FundersFukuoka UniversitySt. Francis Xavier UniversityInfectious Diseases Society of America
KeywordsMedicineSputumRegimenSputum cultureInternal medicineNauseaAdverse effectDiarrheaGastroenterologyVomitingCulture conversionSurgeryTuberculosisPathology

Abstract

fetched live from OpenAlex

Abstract Although sitafloxacin (STFX) is known to have a favorable minimum inhibitory concentration for Mycobacterium avium, few studies have evaluated the clinical efficacy of an STFX-containing regimen for pulmonary M avium complex (MAC) disease. To evaluate the clinical efficacy of STFX-containing regimens for relapsed or refractory pulmonary MAC disease, we retrospectively reviewed 18 patients with pulmonary MAC disease who received STFX for at least 4 weeks for pulmonary MAC disease between January 2008 and February 2016. Of 18 patients, 10 (55.6%) showed improved radiological characteristics and 8 (44.4%) showed negative sputum cultures at 6 months. Regarding the clinical symptoms, improvements were observed in decreasing order in sputum production (77.8%), cough (72.2%), and malaise (55.6%). Common adverse events included nausea or vomiting (38.9%), followed by loose stool or diarrhea (27.8%) and sleepiness (11.1%). Although this study contained a small number of subjects, we describe a STFX-containing regimen that was effective in achieving sputum culture negative conversions and had an acceptable adverse events profile.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.059
GPT teacher head0.356
Teacher spread0.297 · 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 designNon-randomized trial
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

Citations14
Published2016
Admission routes1
Has abstractyes

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