Evidence map›Paper›PMID 35977160›Full record

ArticleJAMA health forum2021

Association of COVID-19 With Achieving Time-to-Surgery Benchmarks in Patients With Musculoskeletal Trauma.

Ida Leah Gitajn, Paul M Werth, Sheila Sprague, Nathan O'Hara, Gregory Della Rocca, Robert Zura, Meir Marmor, Christopher M Domes, Lauren C Hill, Christine Churchill and 6 more

Open access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

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

16 authors at 12 institutions in 2 countries.

Ida Leah GitajnDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Paul M WerthDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Sheila SpragueMcMaster University, Hamilton, Ontario, Canada.
Nathan O'HaraUniversity of Maryland School of Medicine, Baltimore.
Gregory Della RoccaUniversity of Missouri, Columbia.
Robert ZuraLouisiana State University Medical Center, New Orleans.
Meir MarmorUniversity of California, San Francisco.
Christopher M DomesUniversity of Wisconsin-Madison.
Lauren C HillIU Health Methodist Hospital, Indianapolis, Indiana.
Christine ChurchillCarolinas Medical Center, Atrium Health Musculoskeletal Institute, Charlotte, North Carolina.
Christine TownsendPrisma Health, Upstate, Greenville, South Carolina.
Chi VanUniversity of Florida, Gainesville.
Natalie HoganVanderbilt Medical Center, Nashville, Tennessee.
Cara GirardiCarolinas Medical Center, Atrium Health Musculoskeletal Institute, Charlotte, North Carolina.
Gerard P SlobogeanUniversity of Maryland School of Medicine, Baltimore.
PREP-IT Investigators
Carolinas Medical Center · USUniversity of Maryland, Baltimore · USDartmouth–Hitchcock Medical Center · USLouisiana State University · USMcMaster University · CAMethodist Hospital · USPrisma Health · USUniversity of California, San Francisco · USUniversity of Florida · USUniversity of Missouri · USVanderbilt University Medical Center · USUniversity of Wisconsin–Madison · US

Funding

Development of orthopaedic surgeon-scientist expertise in patient-oriented researchK24AR076445 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI Gerard Slobogean · 2020 to 2026
$1.1M
NIAMS NIH HHS K24 AR076445
6 · The paper itself

Abstract

Importance: In response to the COVID-19 pandemic, many hospital systems were forced to reduce operating room capacity and reallocate resources. The outcomes of these policies on the care of injured patients and the maintenance of emergency services have not been adequately reported. Objective: To evaluate whether the COVID-19 pandemic was associated with delays in urgent fracture surgery beyond national time-to-surgery benchmarks. Design Setting and Participants: This retrospective cohort study used data collected in the Program of Randomized Trials to Evaluate Preoperative Antiseptic Skin Solutions in Orthopaedic Trauma among at 20 sites throughout the US and Canada and included patients who sustained open fractures or closed femur or hip fractures. Exposure: COVID-19-era operating room restrictions were compared with pre-COVID-19 data. Main Outcomes and Measures: Surgery within 24 hours after injury. Results: A total of 3589 patients (mean [SD] age, 55 [25.4] years; 1913 [53.3%] male) were included in this study, 2175 pre-COVID-19 and 1414 during COVID-19. A total of 54 patients (3.1%) in the open fracture cohort and 407 patients (21.8%) in the closed hip/femur fracture cohort did not meet 24-hour time-to-surgery benchmarks. We were unable to detect any association between time to operating room and COVID-19 era in either open fracture (odds ratio [OR], 1.40; 95% CI, 0.77-2.55; Conclusions and Relevance: In this cohort study, there was no association between meeting time-to-surgery benchmarks in either open fracture or closed femur/hip fracture during the COVID-19 pandemic compared with before the pandemic. This is counter to concerns that the unprecedented challenges associated with managing the COVID-19 pandemic would be associated with clinically significant delays in acute management of urgent surgical cases and suggests that many hospital systems within the US were able to effectively implement policies consistent with time-to-surgery standards for orthopedic trauma in the context of COVID-19-related resource constraints.

Indexed as

COVID-19Femoral Neck FracturesFractures, ClosedFractures, OpenBenchmarkingCohort StudiesFemaleHumansMaleMiddle AgedPandemicsRetrospective Studies

Identifiers

PMID35977160
PMCPMC8727030
OpenAlexW3209644377

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.