Evidence map›Paper›PMID 35039016›Full record

ArticleBMC musculoskeletal disorders2022

Decrease in incidence of proximal femur fractures in the elderly population during the Covid-19 pandemic: a case-control study.

Maria Oulianski, Philip J Rosinsky, Ariel Fuhrmann, Ruslan Sokolov, Roberto Arriola, Omri Lubovsky

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Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maria OulianskiDepartment of Orthopedic Surgery, Barzilai Medical Center, Ashkelon, Israel. oulianskim@gmail.com.
Philip J RosinskyDepartment of Orthopedic Surgery, Barzilai Medical Center, Ashkelon, Israel.
Ariel FuhrmannDepartment of Orthopedic Surgery, Barzilai Medical Center, Ashkelon, Israel.
Ruslan SokolovDepartment of Orthopedic Surgery, Barzilai Medical Center, Ashkelon, Israel.
Roberto ArriolaDepartment of Orthopedic Surgery, Barzilai Medical Center, Ashkelon, Israel.
Omri LubovskyDepartment of Orthopedic Surgery, Barzilai Medical Center, Ashkelon, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization classified Covid-19 as a pandemic during the first months of 2020 as lockdown measures were implemented globally to mitigate the increasing incidence of Covid-19-related morbidity and mortality. The purpose of this study was to evaluate the effect of national lockdown measures on proximal femur fracture epidemiology. Our hypothesis was that due to the prolonged period of stay-at-home orders, we would observe a decrease in the incidence of proximal femur fractures during the years 2020-21.

methodsA retrospective case-control study of 2784 hip fractures admitted to the emergency department at one hospital between January 1, 2010, and March 31, 2021, was conducted. Cases were stratified weekly, and an analysis was conducted comparing cases occurring during government-imposed lockdown periods of 2020-21 to corresponding periods during 2010-2019. Furthermore, the trend of cases throughout the year of 2020 was observed.

resultsOf all proximal femur fracture cases included, 2522 occurred between 2010-2019 and 261 during the Covid-19 period. There was no significant difference in age (81.95 vs. 82.09; P = 0.78) or gender (P = 0.12). There was a total decrease of 21.64% in proximal femur fracture per week during the entirety of the Covid-19 pandemic period compared to the previous years (3.64 ± 1.99 vs. 4.76 ± 0.83; P = 0.001). During all three lockdown periods, there was a significant decrease in proximal femur fracture cases per week (3.55 ± 2.60 vs. 4.87 ± 0.95; P = 0.04), and the most pronounced decrease occurred during the third lockdown period (2.89 ± 1.96 vs. 5.23 ± 1.18; P = 0.01).

conclusionWe observed a total decrease in the number of proximal femur fractures occurring during the Covid-19 era compared to previous years and specifically a decrease of cases occurring during the government-imposed lockdown periods. The decrease in cases was more pronounced during the second and third lockdown periods.

Indexed as

COVID-19Hip FracturesAgedCase-Control StudiesCommunicable Disease ControlFemurHumansIncidencePandemicsRetrospective StudiesSARS-CoV-2CoronavirusCovid-19Elderly patientHip fracturesProximal femur fractureTrauma

Identifiers

PMID35039016
PMCPMC8763134

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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.