Cutaneous manifestations in elderly patients with confirmed coronavirus disease 2019 and the disease outcomes: A systematic review
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
Cutaneous manifestations in coronavirus disease 2019 (COVID-19) patients may possess prognostic value for identifying potentially severe cases. This systematic review investigated whether dermatological features are associated with COVID-19 outcomes in elderly patients. Literature retrieval was conducted on May 11, 2022, from databases, hand-searching, and tracing citations. Following selection against eligibility criteria, the remaining records were evaluated utilizing the National Heart, Lung, and Blood Institute Study Quality Assessment Tool or Newcastle-Ottawa Scale. The pooled individual data were subsequently analyzed using the Cochran-Mantel-Haenszel test to calculate the odds ratio (ORs) and confidence intervals (CIs) for the severity and mortality of each skin lesion type. We incorporated 70 articles, including 180 and 117 entries, with information regarding disease severity and mortality. Further analysis revealed that vascular type was the skin lesion most frequently noticed in confirmed COVID-19 elderly patients (46.2%) and was associated with an increased risk of developing advanced disease (OR 7.32, 95% CI 3.39-15.81) and the ensuing termination (OR 5.73, 95% CI 2.46-13.36). The converse phenomenon was observed in maculopapular type (severity OR 0.27, 95% CI 0.14-0.52; mortality OR 0.10, 95% CI 0.03-0.36). In conclusion, skin manifestations may predict COVID-19 severity and mortality in the senior group.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 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 | 0.001 |
| 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