ArticleCureus2023
The Impact of the COVID-19 Pandemic and Lockdown on Adult Foot and Ankle Fractures Presenting to the Largest Trust in the United Kingdom.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Epidemiology and Management of Ankle Fractures Prior to, During, and Following the COVID-19 Pandemic in an Italian Tertiary Hospital.Medicina (Kaunas, Lithuania) · 2025Observational
- Foot and Ankle Trauma: Epidemiology Before, During, and Post COVID-19 Pandemic in a Level I Trauma Center: A 5-Year Experience and Data Analysis.Journal of clinical medicine · 2024Article
- Trend, disparities, and projection analysis of public data on foot fractures in Sweden: a retrospective analysis of 179 129 fractures.BMC musculoskeletal disorders · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background The COVID-19 pandemic induced unprecedented changes in medical practices, prompting a reassessment of their impact on adult foot and ankle fractures within the National Health Service (NHS). This study employs a retrospective observational approach, leveraging the Pathpoint™ eTrauma platform for a comprehensive analysis of prospectively collected data. Methods Data encompassing weekly fracture incidence, weekly surgical procedures, patient demographics, and mean wait time from injury presentation to surgery were systematically evaluated. The study population included all adults (18+) admitted during five distinct periods: pre-pandemic, national lockdown 1, post-lockdown, national lockdown 2, and national lockdown 3. Results An analysis of 434 foot and ankle fractures revealed that national lockdown 1 exhibited the lowest fracture incidence (4.97 per week) and surgeries performed (4.77 per week), reflecting a notable reduction in trauma cases and elective procedures. Conversely, post-lockdown displayed the highest fracture incidence (7.46 per week) and surgeries performed (6.31 per week), suggesting a resurgence in both trauma and elective surgical activities. The pre-pandemic cohort, characterized by the highest mean age (51.98 years) and mean wait time (8.74 days), served as a temporal baseline. Conclusion While the incidence of fractures decreased during all three national lockdowns compared to pre-pandemic or post-lockdown periods, a gradual increase was observed in subsequent lockdowns. Notably, mean wait times showed a significant reduction, reaching the lowest point (5.79 days) during national lockdown 3. These findings underscore the complex interplay between pandemic-related disruptions, evolving guidelines, and adaptive measures within the healthcare system, influencing the dynamics of foot and ankle fracture management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.