New Treatments for Emerging Cystic Fibrosis Pathogens other than Pseudomonas
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.
Bibliographic record
Abstract
The development of antimicrobial treatments for respiratory pathogens in cystic fibrosis (CF) has been an integral component to the increased survival of CF patients over the past fifty years. Despite significant treatment advances, however, respiratory failure secondary to chronic bacterial pulmonary infection remains the primary cause of death in CF patients. The purpose of this review is to discuss emerging pathogens (other than Pseudomonas) in CF by describing the characteristics of the organism, their clinical significance in CF, their mechanisms of antimicrobial resistance and the current treatment approaches including newer pharmaceutical modalities. This review will focus on the following pathogens: Burkholderia cepacia complex, Stenotrophomonas maltophilia, Achromobacter xylosoxidans, methicillin-resistant Staphylococcus aureus and nontuberculous mycobacteria The goal is to familiarize the reader with the challenges in treating pulmonary infections in CF caused by multi-drug resistant pathogens and to highlight some of the newer pharmaceutical treatments that are currently the focus of intense research. Keywords: Cystic fibrosis, Burkholderia cepacia, Stenotrophomonas maltophilia, Achromobacter, respiratory pathogens, nontuberculous mycobacteria, multi-drug resistant pathogens, β-lactam drugs, chronic infection, biofilm formation
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it