Evidence map›Paper›PMID 35237737›Full record

ArticleFoot & ankle orthopaedics2022

Ankle Fracture and Length of Stay in US Adult Population Using Data From the National COVID Cohort Collaborative.

Charles C Pitts, Eli B Levitt, David A Patch, Alexander K Mihas, Alfredo Terrero, Melissa A Haendel, Christopher G Chute, Brent A Ponce, Steven M Theiss, Clay A Spitler and 1 more

Open access · goldAbstract read
In one paragraph

Article in Foot & ankle orthopaedics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

11 authors at 6 institutions in 1 country.

Charles C PittsDepartment of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Eli B LevittDepartment of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID https://orcid.org/0000-0002-3921-5653
David A PatchDepartment of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Alexander K MihasDepartment of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Alfredo TerreroDepartment of Translational Medicine, Florida International University Herbert Wertheim College of Medicine, Miami, FL, USA.
Melissa A HaendelCenter for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Christopher G ChuteSchools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-5437-2545
Brent A PonceHughston Clinic, Columbus, GA, USA.
Steven M TheissDepartment of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Clay A SpitlerDepartment of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Michael D JohnsonDepartment of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID https://orcid.org/0000-0002-3205-755X
University of Alabama at Birmingham · USFlorida International University · USHughston Clinic · USJohns Hopkins University · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Miami · US

Funding

National Dissemination of I-Corps@NCATS: Accelerating Translation through CommercializationUL1TR003096 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUTIERREZ, ORLANDO M, KIMBERLY, ROBERT P. · 2019 to 2023
$43.6M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
NCATS NIH HHS U24 TR002306NCATS NIH HHS UL1 TR003096
6 · The paper itself

Abstract

backgroundThe National COVID Cohort Collaborative (N3C) is an innovative approach to integrate real-world clinical observations into a harmonized database during the time of the COVID-19 pandemic when clinical research on ankle fracture surgery is otherwise mostly limited to expert opinion and research letters. The purpose of this manuscript is to introduce the largest cohort of US ankle fracture surgery patients to date with a comparison between lab-confirmed COVID-19-positive and COVID-19-negative.

methodsA retrospective cohort of adults with ankle fracture surgery using data from the N3C database with patients undergoing surgery between March 2020 and June 2021. The database is an NIH-funded platform through which the harmonized clinical data from 46 sites is stored. Patient characteristics included body mass index, Charlson Comorbidity Index, and smoking status. Outcomes included 30-day mortality, overall mortality, surgical site infection (SSI), deep SSI, acute kidney injury, pulmonary embolism, deep vein thrombosis, sepsis, time to surgery, and length of stay. COVID-19-positive patients were compared to COVID-19-negative controls to investigate perioperative outcomes during the pandemic.

resultsA total population of 8.4 million patient records was queried, identifying 4735 adults with ankle fracture surgery. The COVID-19-positive group (n=158, 3.3%) had significantly longer times to surgery (6.5 ± 6.6 vs 5.1 ± 5.5 days,

conclusionPatients with ankle fracture surgery had longer time to surgery and prolonged hospitalizations in COVID-19-positive patients compared to those who tested negative (average delay was about 1 day and increased length of hospitalization was about 4 days). Few perioperative events were observed in either group. Overall, the risks associated with COVID-19 were measurable but not substantial.

Indexed as

Ankle fractureCOVID-19Length of stayOutcomesSARS-CoV-2

Identifiers

PMID35237737
PMCPMC8883310
OpenAlexW4214739249

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.