Evidence map›Paper›PMID 41487856›Full record

ArticleCureus2025

Elevated Risk of an Emergency Department Admission Associated With Long COVID Diagnosis Within the US Veteran Population.

Raymond Van Cleve, Amanda Lienau, Jonathan Sanchez Garcia

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Raymond Van CleveMedicine, Stanford University, Palo Alto, USA.
Amanda LienauInnovation Ecosystem, Veterans Affairs, St. Louis, USA.
Jonathan Sanchez GarciaData Analysis, MDClone Inc., Beer Sheba, ISR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long COVID has emerged as a significant public health concern, potentially affecting millions of people over the next decade. By examining the risk of an emergency department (ED) visit associated with long COVID across a population, we can see the population-level severity of long COVID. This study aims to quantify the change in risk for ED visits in the six months following COVID-19 infection for people diagnosed with long COVID compared to those who are only infected with COVID-19 but not diagnosed with long COVID. The study compared the risk of an ED visit between veterans with long COVID and those with only COVID-19 infection. We examined the risk of an ED visit for these two groups in the six months before and the six months after being infected with COVID-19. Data came from the Veterans Health Administration (VHA) electronic medical records, specifically veterans who used the Veterans Affairs (VA) healthcare system and had an initial case of COVID-19 between March 1, 2021, and December 21, 2021. We examined ER visits six months before and after testing positive for COVID-19. The outcome of interest was the risk of an ED visit for people diagnosed with long COVID compared to people who only contracted COVID-19 and were not diagnosed with long COVID. In the six months after contracting long COVID, veterans eventually diagnosed with long COVID had a 34% higher risk of ED visits compared to those who contracted COVID-19 but never developed long COVID. Between three and six months post-infection, the risk of ED visits was 21% higher in the long COVID group. Long COVID can be a severe condition whose effects can last months after infection and diagnosis. Certain policies need to be implemented to manage the symptoms of this disease and reduce the need for emergency department services.

Indexed as

emergency medical servicelong covidlong-term outcomemanagement of long covidveterans health

Identifiers

PMID41487856
PMCPMC12759026

What OpenQuestion holds

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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.