The Silent Sinus Syndrome is a form of Chronic Maxillary Atelectasis: A Systematic Review of all Reported Cases
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
BACKGROUND: The terms chronic maxillary atelectasis (CMA) and silent sinus syndrome (SSS) have been used to describe spontaneous enophthalmos in association with a contracted ipsilateral maxillary sinus. Despite the use of differing taxonomy, it appears that these two terms describe the same clinical entity. Nevertheless, many reports still discuss CMA and SSS in isolation or as distinct conditions. METHODS: A systematic review of all reported cases of CMA and SSS was performed (1964-2006). Case reports were excluded if they involved facial trauma, diagnosis of mucocele, or previous surgery. Eligible cases were reviewed and entered into a database. Data were evaluated based on literature of publication, reported diagnosis, demographics, ophthalmologic examination, results of imaging, and operative findings. Only complete data sets were included in an additional analysis whereby the diagnostic criteria for CMA and SSS were applied and the data sets were compared. RESULTS: Of the 105 cases reviewed, 55 contained complete data sets. Twenty-seven of these cases met the diagnostic criteria for SSS, and 48 could be diagnosed as CMA, with 23 meeting the criteria for both conditions. Comparing the cases across diagnoses, the only difference observed was that of the presence of sinus-related symptoms, which by definition distinguishes CMA III from SSS. CONCLUSION: The entity termed SSS fits within the staging classification of CMA. We propose abandoning the term SSS and recommend universal adoption of the CMA staging system, which uses nomenclature that more accurately portrays the pathophysiology and natural history of this condition.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it