Diagnosis and Characteristics of Presentation of Tubulointerstitial Nephritis and Uveitis Syndrome During the COVID-2019 Pandemic
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
PURPOSE: To compare the diagnosis and clinical features of tubulointerstitial nephritis and uveitis syndrome (TINU) before and during the COVID-19 pandemic. METHODS: Retrospective chart review. RESULTS: Before the COVID-19 pandemic (March 2017 to March 2019), 1/561 (0.18%) new patient was diagnosed with TINU. During the pandemic (March 2020 to March 2022), 15/581 (2.58%) new patients were diagnosed with TINU. We found a significant increase in TINU cases during the pandemic (P=0.0005). Various posterior segment findings were observed in 2/3 (66.7%) patients before the pandemic and 13/15 (86.7%) patients during the pandemic, including disc edema, chorioretinal scars, disc leakage, and peripheral vascular leakage. CONCLUSION: This is the first study reporting an increased number of TINU during the COVID-19 pandemic. With most of the American population now exposed to COVID-19, a large multi-center epidemiological study would be helpful to investigate any association of COVID-19 disease or vaccination with TINU in recent years.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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