IMPACTO DE LA PANDEMIA POR COVID-19 EN LA EPIDEMIOLOGÍA, MANEJO Y SUPERVIVENCIA DE LOS PACIENTES CON FRACTURA DE CADERA
Bibliographic record
Abstract
The COVID-19 pandemic has forced a reorganization of health resources towards the care of patients with severe respiratory syndrome. While the incidence of traumatic pathology was reduced, this was not the case with hip fractures, and their management could be compromised. The objective of this study is to evaluate the consequences of the pandemic on the epidemiology, management and outcomes of hip fracture. Material and methods: A retrospective observational cohort study was done including patients with hip fracture treated between March 2019 and February 2021, establishing two groups for comparison, before and after the onset of the pandemic. Demographic variables, comorbidities, history of fragility fracture and hip fracture, type of fracture and type of treatment performed, surgical delay, length of hospital stay, and PCR result for SARS-CoV2 upon admission were recorded. In-hospital mortality rate and survival at 1 and 6 months were analyzed. Results: 251 patients were included, 137 (54.58%) PRE-COVID group and 114 (45.42%) POST-C group. There were no differences in demographic variables, comorbidities, type of fracture, or treatment performed. The absolute incidence was reduced by 16.8% and the relative incidence was reduced by 17.6%, this difference was significant during lockdown period and in the months o January and February, the period of maximum incidence of COVID-19. The incidence of PCR + on admission was 1.75%. No significant differences were found in surgical delay, hospital stay and mortality, survival at one month or at 6 months. Conclusion: With the COVID-19 pandemic, specific reductions in the incidence of hip fractures have been observed, without changes in its epidemiology, indicators of hospital management and in patient survival at one and 6 months.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".