RETRACTED: Acute burns during the <scp>COVID</scp>‐19 pandemic: A one‐year retrospective study of 611 patients at a referral burn centre in northern Iran
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Patients with acute burns are more vulnerable to COVID-19 because of physiologically weak immune systems. This study aimed to assess and compare individual characteristics, clinical features, and clinical outcomes of acute burn among COVID-19 and non-COVID-19 patients. A retrospective study, with data collected from 611 acute burn patients with or without a COVID-19 diagnosis referred to a burn centre in Iran. Data were collected from April 2020 to 2021. The mean age of acute burns patients with COVID-19 was higher compared with acute burns patients with non-COVID-19 (47.82 vs. 32.59 years, P < .001). Acute burns occurred more frequently in COVID-19 patients with comorbidities compared with non-COVID-19 patients (48.72% vs. 26.92%, P = .003). 58.97% of COVID-19 patients and 55.42% of non-COVID-19 patients had grade II & III and II burns, respectively (P < .001). The mean total body surface area of the burn was higher in COVID-19 patients compared with non-COVID-19 patients (32.69% vs. 16.22%, P < .001). Hospitalisation in the intensive care unit (ICU) was higher in COVID-19 patients than in non-COVID-19 patients (76.92% vs. 15.73%, P < .001). Length of stay in hospital and ICU, the cost of hospitalisation, and waiting time for the operating room was higher in COVID-19 patients compared with non-COVID-19 patients (15.30 vs. 3.88 days, P < .001; 9.61 vs. 0.75 days, P < .001; 30 430 628.717 vs. 10 219 192.44 rials, P = .011; 0.84 vs. 0.24 min, P < .001, respectively). Intubation and mortality in-hospital were higher in COVID-19 patients compared with non-COVID-19 patients (41.02% vs. 6.99%, P < .001; 35.90% vs. 6.12%, P < .001, respectively). Therefore, it is recommended that health managers and policymakers develop a care plan to provide high-quality care to acute burns patients with COVID-19, especially in low-income countries.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".