Evidence map›Paper›PMID 36989460›Full record

ArticleJMIR formative research2023

Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study.

Michal Ozery-Flato, Liat Ein-Dor, Ora Pinchasov, Miel Dabush Kasa, Efrat Hexter, Gabriel Chodick, Michal Rosen-Zvi, Michal Guindy

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. 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 35% 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, 1 citations in OpenAlex.

  1. Reducing radiation exposure in pediatric cervical spine imaging for trauma: a multi-disciplinary quality improvement initiative.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    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

8 authors at 5 institutions in 1 country.

Michal Ozery-FlatoIBM Research - Israel, Haifa, Israel.ORCID https://orcid.org/0000-0002-8223-7989
Liat Ein-DorIBM Research - Israel, Haifa, Israel.ORCID https://orcid.org/0000-0002-9206-4970
Ora PinchasovAssuta Medical Centers, Tel Aviv, Israel.ORCID https://orcid.org/0009-0004-9462-9279
Miel Dabush KasaAssuta Medical Centers, Tel Aviv, Israel.ORCID https://orcid.org/0009-0007-2453-3919
Efrat HexterIBM Research - Israel, Haifa, Israel.ORCID https://orcid.org/0000-0002-3270-549X
Gabriel ChodickMaccabi Healthcare Services, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-5189-8995
Michal Rosen-Zvi *IBM Research - Israel, Haifa, Israel.ORCID https://orcid.org/0000-0001-7616-9724
Michal Guindy *Assuta Medical Centers, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-0777-0011
IBM Research - Haifa · ILAssuta Medical Center · ILBen-Gurion University of the Negev · ILHebrew University of Jerusalem · ILTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outbreak of the COVID-19 pandemic had a major effect on the consumption of health care services. Changes in the use of routine diagnostic exams, increased incidences of postacute COVID-19 syndrome (PCS), and other pandemic-related factors may have influenced detected clinical conditions.

objectiveThis study aimed to analyze the impact of COVID-19 on the use of outpatient medical imaging services and clinical findings therein, specifically focusing on the time period after the launch of the Israeli COVID-19 vaccination campaign. In addition, the study tested whether the observed gains in abnormal findings may be linked to PCS or COVID-19 vaccination.

methodsOur data set included 572,480 ambulatory medical imaging patients in a national health organization from January 1, 2019, to August 31, 2021. We compared different measures of medical imaging utilization and clinical findings therein before and after the surge of the pandemic to identify significant changes. We also inspected the changes in the rate of abnormal findings during the pandemic after adjusting for changes in medical imaging utilization. Finally, for imaging classes that showed increased rates of abnormal findings, we measured the causal associations between SARS-CoV-2 infection, COVID-19-related hospitalization (indicative of COVID-19 complications), and COVID-19 vaccination and future risk for abnormal findings. To adjust for a multitude of confounding factors, we used causal inference methodologies.

resultsAfter the initial drop in the utilization of routine medical imaging due to the first COVID-19 wave, the number of these exams has increased but with lower proportions of older patients, patients with comorbidities, women, and vaccine-hesitant patients. Furthermore, we observed significant gains in the rate of abnormal findings, specifically in musculoskeletal magnetic resonance (MR-MSK) and brain computed tomography (CT-brain) exams. These results also persisted after adjusting for the changes in medical imaging utilization. Demonstrated causal associations included the following: SARS-CoV-2 infection increasing the risk for an abnormal finding in a CT-brain exam (odds ratio [OR] 1.4, 95% CI 1.1-1.7) and COVID-19-related hospitalization increasing the risk for abnormal findings in an MR-MSK exam (OR 3.1, 95% CI 1.9-5.3).

conclusionsCOVID-19 impacted the use of ambulatory imaging exams, with greater avoidance among patients at higher risk for COVID-19 complications: older patients, patients with comorbidities, and nonvaccinated patients. Causal analysis results imply that PCS may have contributed to the observed gains in abnormal findings in MR-MSK and CT-brain exams.

Indexed as

adversarial balancingbalancing weightscausal effectcausal inferencecoronavirusCOVIDCOVID-19CTEHRselectronic health recordshealth servicesinverse probability weightingIPWlong COVIDmachine learningMammographymedical imagingMRIobservational studypandemicPCSpostacute COVID-19 syndromeradiologyutilizationvaccinationvaccine

Identifiers

PMID36989460
PMCPMC10156149
OpenAlexW4322711386

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.