Evidence map›Paper›PMID 36611411›Full record

ArticleDiagnostics (Basel, Switzerland)2022

COVID-19 Patients in the COVID-19 Recovery and Engagement (CORE) Clinics in the Bronx.

Anna Eligulashvili, Megan Darrell, Carolyn Miller, Jeylin Lee, Seth Congdon, Jimmy S Lee, Kevin Hsu, Judy Yee, Wei Hou, Marjan Islam and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  4. COVID-19 and Radiological Progression of Multiple Sclerosis.Diagnostics (Basel, Switzerland) · 2026
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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 2 institutions in 1 country.

Anna EligulashviliDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Megan DarrellDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0001-6498-9442
Carolyn MillerDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Jeylin LeeDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Seth CongdonDepartment of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Jimmy S LeeDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Kevin HsuDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Judy YeeDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Wei HouDepartment of Family, Population and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY 11794, USA.
Marjan IslamDepartment of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Tim Q DuongDepartment of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0000-0001-6403-2827
Albert Einstein College of Medicine · USStony Brook School · US

Funding

Medical Scientist Training ProgramT32GM149364 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Myles H. Akabas · 2023 to 2026
$7.5M
NIGMS NIH HHS T32 GM149364
6 · The paper itself

Abstract

Background: Early in the pandemic, we established COVID-19 Recovery and Engagement (CORE) Clinics in the Bronx and implemented a detailed evaluation protocol to assess physical, emotional, and cognitive function, pulmonary function tests, and imaging for COVID-19 survivors. Here, we report our findings up to five months post-acute COVID-19. Methods: Main outcomes and measures included pulmonary function tests, imaging tests, and a battery of symptom, physical, emotional, and cognitive assessments 5 months post-acute COVID-19. Findings: Dyspnea, fatigue, decreased exercise tolerance, brain fog, and shortness of breath were the most common symptoms but there were generally no significant differences between hospitalized and non-hospitalized cohorts (p > 0.05). Many patients had abnormal physical, emotional, and cognitive scores, but most functioned independently; there were no significant differences between hospitalized and non-hospitalized cohorts (p > 0.05). Six-minute walk tests, lung ultrasound, and diaphragm excursion were abnormal but only in the hospitalized cohort. Pulmonary function tests showed moderately restrictive pulmonary function only in the hospitalized cohort but no obstructive pulmonary function. Newly detected major neurological events, microvascular disease, atrophy, and white-matter changes were rare, but lung opacity and fibrosis-like findings were common after acute COVID-19. Interpretation: Many COVID-19 survivors experienced moderately restrictive pulmonary function, and significant symptoms across the physical, emotional, and cognitive health domains. Newly detected brain imaging abnormalities were rare, but lung imaging abnormalities were common. This study provides insights into post-acute sequelae following SARS-CoV-2 infection in neurological and pulmonary systems which may be used to support at-risk patients and develop effective screening methods and interventions.

Indexed as

brain imagingchest imagingCOVID symptomsfatiguelong COVIDPASCpulmonary function testsshortness of breath

Identifiers

PMID36611411
PMCPMC9818274
OpenAlexW4313362303

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.