Evidence map›Paper›PMID 33309899›Full record

ArticleJournal of biomedical informatics2021

A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19.

Neil S Zheng, Jeremy L Warner, Travis J Osterman, Quinn S Wells, Xiao-Ou Shu, Stephen A Deppen, Seth J Karp, Shon Dwyer, QiPing Feng, Nancy J Cox and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of biomedical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

15 authors at 2 institutions in 1 country.

Neil S ZhengDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Jeremy L WarnerDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Travis J OstermanDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Quinn S WellsDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Stephen A DeppenDepartment of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Seth J KarpDepartment of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Shon DwyerVanderbilt University Adult Hospital, Vanderbilt University Medical Center, Nashville, TN, USA.
QiPing FengDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Nancy J CoxDepartment of Pharmacology, Vanderbilt University, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
Josh F PetersonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
C Michael SteinDivision of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Pharmacology, Vanderbilt University, Nashville, TN, USA.
Dan M RodenDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Pharmacology, Vanderbilt University, Nashville, TN, USA.
Kevin B JohnsonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: wei-qi.wei@vumc.org.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
The eMERGE Risk Assessment Network - Coordinating CenterU01HG011166 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Niall John Lennon, Joseph F. Peterson · 2020 to 2026
$16.8M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C. · 2015 to 2019
$13.0M
Vanderbilt/Meharry Initiative for Minority Student DvptR25GM062459 · NIGMS · VANDERBILT UNIVERSITY · PI VELEZ EDWARDS, DIGNA R · 2002 to 2020
$10.4M
Vanderbilt Genome-Electronic Records (VGER) ProjectU01HG011181 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAN M RODEN, Digna R Velez Edwards · 2020 to 2026
$7.0M
Drug repositioning for Alzheimer's disease via genetics, electronic health records, and human iPSC modelsR01AG069900 · NIA · VANDERBILT UNIVERSITY · PI LI, BINGSHAN, WEI, WEI-QI · 2021 to 2025
$4.0M
PheMAP: Measured, Automated Profile to Facilitate High Throughput PhenotypingR01GM139891 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WEI, WEI-QI · 2021 to 2024
$1.7M
Pleiotropy of PCSK9 InhibitionR01GM120523 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FENG, QIPING · 2016 to 2020
$1.7M
Pharmacogenetics to improve drug therapyR35GM131770 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STEIN, CHARLES M. · 2019 to 2023
$1.7M
Exploring Statin Pleiotropic Effects within a Very Large EHR Cohort - Diversity SupplementR01HL133786 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WEI, WEI-QI · 2017 to 2020
$1.7M
NCATS NIH HHS UL1 TR000445NCI NIH HHS P30 CA068485NHGRI NIH HHS U01 HG011166NHGRI NIH HHS U01 HG011181NHLBI NIH HHS R01 HL133786NIA NIH HHS R01 AG069900NIGMS NIH HHS P50 GM115305NIGMS NIH HHS R01 GM120523NIGMS NIH HHS R01 GM139891NIGMS NIH HHS R25 GM062459
6 · The paper itself

Abstract

objectiveDuring the COVID-19 pandemic, health systems postponed non-essential medical procedures to accommodate surge of critically-ill patients. The long-term consequences of delaying procedures in response to COVID-19 remains unknown. We developed a high-throughput approach to understand the impact of delaying procedures on patient health outcomes using electronic health record (EHR) data. MATERIALS AND

methodsWe used EHR data from Vanderbilt University Medical Center's (VUMC) Research and Synthetic Derivatives. Elective procedures and non-urgent visits were suspended at VUMC between March 18, 2020 and April 24, 2020. Surgical procedure data from this period were compared to a similar timeframe in 2019. Potential adverse impact of delay in cardiovascular and cancer-related procedures was evaluated using EHR data collected from January 1, 1993 to March 17, 2020. For surgical procedure delay, outcomes included length of hospitalization (days), mortality during hospitalization, and readmission within six months. For screening procedure delay, outcomes included 5-year survival and cancer stage at diagnosis.

resultsWe identified 416 surgical procedures that were negatively impacted during the COVID-19 pandemic compared to the same timeframe in 2019. Using retrospective data, we found 27 significant associations between procedure delay and adverse patient outcomes. Clinician review indicated that 88.9% of the significant associations were plausible and potentially clinically significant. Analytic pipelines for this study are available online.

conclusionOur approach enables health systems to identify medical procedures affected by the COVID-19 pandemic and evaluate the effect of delay, enabling them to communicate effectively with patients and prioritize rescheduling to minimize adverse patient outcomes.

Indexed as

PandemicsTime-to-TreatmentAdultCardiovascular DiseasesCOVID-19FemaleHumansMaleMiddle AgedNeoplasmsRetrospective StudiesSARS-CoV-2COVID-19Electronic health recordsProcedure delay

Identifiers

PMID33309899
PMCPMC7728428
OpenAlexW3112002857

What OpenQuestion holds

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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.