The Effect of Injection Immunotherapy on Mucociliary Clearance in Allergic Patients
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of injection immunotherapy on mucociliary clearance in allergic patients with the use of the saccharin test. METHODS: In this prospective cohort study, mucociliary clearance in 42 allergic patients treated with injection immunotherapy was determined with the saccharin test. Of these patients, 23 were retested 1 year later to assess changes in mucociliary clearance times. Mean results for historical controls were determined in a review and meta-analysis of the existing literature. RESULTS: Saccharin clearance times (SCTs) were initially prolonged in allergic patients who received injection immunotherapy when compared to historical controls (one-sided P value < 0.05). However, after 1 year of immunotherapy, there was a significant reduction in SCTs in our patient population. This finding was independent of other evaluated patient characteristics, with the exception of nasal steroid use, which was also significantly associated with a decrease in SCT. CONCLUSIONS: After 1 year of injection immunotherapy, there was a significant reduction in mean SCT in our patient population. Of the other factors studied, only nasal steroid was associated with decreased mucociliary clearance times. To our knowledge, this is the first report in the literature documenting the beneficial effect of injection immunotherapy on mucociliary clearance as measured by saccharin clearance times. Nevertheless, further research is warranted, given the confounding effect of nasal steroid use.
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 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".