Evidence map›Paper›PMID 37779860›Full record

ReviewTherapeutic advances in gastroenterology2023

The new normal: a review of the impact of COVID-19 on gastroenterology fellowship training.

Salima Makhani, Jaclyn Morales, Matthew J Whitson

Abstract readReview
In one paragraph

Review in Therapeutic advances in gastroenterology, 2023. 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.

Salima MakhaniDivision of Gastroenterology, Department of Medicine, The Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Manhassett, NY, USA.
Jaclyn MoralesDivision of Gastroenterology, Department of Medicine, The Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Manhassett, NY, USA.
Matthew J WhitsonDivision of Gastroenterology, Department of Medicine, The Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, 600 Northern Boulevard, Suite 111, Manhassett, NY 11021, USA.ORCID https://orcid.org/0000-0002-5344-3257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic had a significant impact on medical education and gastroenterology fellowship training. As a result of the pandemic, a trainee's physical safety, mental health and wellness, clinical and procedural training, and educational opportunities were all potentially altered. Changes necessitated at the start of the pandemic were different than those needed further along in the pandemic course. Fellowship programs were required to modify policies and adapt to changes rapidly to advocate for their trainees and ensure quality education. Much of COVID-19's initial impact on education - decreased endoscopic procedures and the loss of educational conferences - has largely returned to pre-pandemic form. However, other changes made during the pandemic have persisted and likely will continue in the future. This includes a virtual interview format for fellowship matches, a virtual option for many national conferences, and an expansion of simulation training. This article reviews the impact that COVID-19 had on medical education with a specific focus on gastroenterology fellowship. The paper highlights the initial impact of COVID-19, the lingering effects, and discusses the areas needed for further research to best understand the total impact COVID-19 had on our trainees' education.

Indexed as

COVID-19gastroenterologymedical educationmental healthprocedural trainingtraineewell-being

Identifiers

PMID37779860
PMCPMC10540587

What OpenQuestion holds

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LicenceCC BY-NC
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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.