Evidence map›Paper›PMID 32731774›Full record

ArticleActa orthopaedica2020

The impact of COVID-19 on the future of orthopaedic training in the UK.

Rupen Dattani, Catrin Morgan, Lily Li, Katharine Bennett-Brown, Rupert M H Wharton

Open access · goldAbstract read
In one paragraph

Article in Acta orthopaedica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Rupen DattaniDepartment of Trauma and Orthopaedics, Chelsea and Westminster NHS Foundation Trust, London, UK.
Catrin MorganDepartment of Trauma and Orthopaedics, Chelsea and Westminster NHS Foundation Trust, London, UK.
Lily LiDepartment of Trauma and Orthopaedics, Chelsea and Westminster NHS Foundation Trust, London, UK.
Katharine Bennett-BrownDepartment of Trauma and Orthopaedics, Chelsea and Westminster NHS Foundation Trust, London, UK.
Rupert M H WhartonDepartment of Trauma and Orthopaedics, Chelsea and Westminster NHS Foundation Trust, London, UK.
Chelsea and Westminster Hospital NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has had a major impact on global healthcare systems, has drastically affected patient care, and has had widespread effects upon medical education. As plans are being devised to reinstate elective surgical services, it is important to consider the impact that the pandemic has had and will continue to have on surgical training. We describe the effect COVID-19 has had at all levels of training in the UK within trauma and orthopaedics and evaluate how training might change in the future. We found that the COVID-19 pandemic has significantly impacted trainees within trauma and orthopaedics at all levels of training. It had led to reduced operative exposure, cancellations of examinations and courses, and modifications to speciality recruitment and annual appraisals. This cohort of trainees is witnessing novel methods of delivering orthopaedic services, which will continue to develop and become part of routine practice even once the pandemic has resolved. It will be important to observe the extent to which the rapid changes currently being introduced will impact the personal health, safety, and career progression of current trainees.

Indexed as

COVID-19Delivery of Health CareEducationEducation, MedicalOrganizational InnovationOrthopedicsCommunicable Disease ControlHumansModels, EducationalOrthopedic ProceduresSARS-CoV-2United Kingdom

Identifiers

PMID32731774
PMCPMC8023912
OpenAlexW3046408455

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.