Tympanic Membrane Perforation and COVID-19
Bibliographic record
Abstract
Background: World Health Organization considers the outbreak of coronavirus disease 2019 (COVID-19) as a global pandemic. The perforation of Tympanic Membrane (TMP), followed by remission of COVID-19, can be an uncommon presentation. Case Report: This report is an unusual case of COVID-19 in an elderly woman who did not have any past medical history. She was admitted to the hospital with an uncommon, but serious presentation of TMP after one week of remission from COVID-19 infection. Otoscopy of ear revealed clear external auditory canal and central perforation in the pars tensa with regular margins occupying the posteroinferior quadrant. Computed tomography scan (axial view) with thin cuts of the temporal bone revealed well pneumatized mastoid regions without any density or secretion and normal middle ears without any density or secretion. After 2 months, tympanoplasty without mastoidectomy was performed, the patient recovered fully, the TMP was healed, and an audiogram performed 2 months later was found to be normal. Conclusion: This case highlighted the importance of attention to uncommon presentations, such as otalgia, and a sensation of fullness in the ear that can be subsequent to bacterial superinfection after Covid-19 infection.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".