Nasal fibroscopy as a routine screening procedure of sinonasal adenocarcinoma of woodworkers: French longitudinal case study
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to assess the relevancy of flexible nasoendoscopy as a routine screening procedure of sinonasal adenocarcinoma among people occupationally exposed to wood dust. METHODS: This study included woodworkers, occupationally exposed to wood dust. Evaluations were scheduled at the time of inclusion (T0) and after a 2-year period (T1). A questionnaire was used for standardized data collection. The score was based on anatomic landmarks on each side that are parts of the olfactory clefts: the area of middle turbinate, the anterior part of the olfactory cleft, the top of the choanal arch, the spheno-ethmoidal recess, the posterior part of the olfactory cleft, and the middle part of the olfactory cleft. RESULTS: A total of 965 nasoendoscopies (T0+T1) were performed. Olfactory clefts were visualized in 72% of the cases. Nasoendoscopies revealed pathological findings in 33.6% of cases: polyps, thick nasal secretion aspect, mucous edema, retractile scars and synechia, crusts, mucous erythema, and growth. One case of carcinoma was confirmed. Adverse effects (epistaxis, blood mark on the endo-sheath, sneezing, or rhinorrhea) after the medical procedure occurred in 30% of cases without severe complications. CONCLUSION: Flexible nasoendoscopy offers meaningful efficacy and a promising safety profile, and, therefore, could become the new cornerstone of the routine screening procedure of sinonasal adenocarcinoma among woodworkers.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".