Molecular characterization of the polymicrobial flora in chronic rhinosinusitis.
Bibliographic record
Abstract
INTRODUCTION: Conventional cultures have implicated Staphylococcus aureus (SA) and coagulase-negative Staphylococcus (CNS) as principal pathogens in chronic rhinosinusitis (CRS). These results are questioned by recent studies in which molecular probes implicate Haemophilus influenzae instead. OBJECTIVES: To identify all bacterial species present on sinonasal mucosa using molecular culture (bacterial tag-encoded FLX amplicon pyrosequencing [bTEFAP]) and to compare them with those identified with conventional methods. METHODS: A prospective study of 18 patients undergoing endoscopic sinus surgery for CRS and 9 control patients with pituitary adenomas was conducted. Per-operative mucosal biopsies were assessed with bTEFAP by sequencing the species-specific 16S ribosomal deoxyribonucleic acid (DNA) fragment for genetic identification of bacteria and then compared with simultaneous swab culture. RESULTS: Standard cultures showed mainly SA and CNS. Molecular cultures identified up to 20 organisms per sample. Surprisingly, anaerobic species predominated (Diaphorobacter and Peptoniphilus). SA was nevertheless detected in 50%. CONCLUSION: Molecular cultures such as bTEFAP are sensitive tools for bacterial identification in CRS and suggest that anaerobe involvement may be more frequent than presumed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".