Evidence map›Paper›PMID 33794568›Full record

ArticleRadiation oncology journal2021

Optimizing e-learning in oncology during the COVID-19 pandemic and beyond.

Monica Malik, Deepthi Valiyaveettil, Deepa Joseph

Abstract read
In one paragraph

Article in Radiation oncology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Successful implementation of online educational lectures of the German Society for Radiation Oncology (DEGRO).Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024
    Article
  2. Radiation Oncology Virtual Education Rotation (ROVER) 2.0 for Residents: Implementation and Outcomes.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Article
  3. Blended online learning for oncologists to improve skills in shared decision making about palliative chemotherapy: a pre-posttest evaluation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  4. The landscape of digital resources in radiation oncology.Technical innovations & patient support in radiation oncology · 2022
    Article
  5. 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

3 authors.

Monica MalikDepartment of Radiation Oncology, Nizam's Institute of Medical Sciences, Hyderabad, India.
Deepthi ValiyaveettilDepartment of Radiation Oncology, Nizam's Institute of Medical Sciences, Hyderabad, India.
Deepa JosephDepartment of Radiation Oncology, All India Institute of Medical Sciences, Rishikesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted cancer care, research and residency training in oncology worldwide. Many countries canceled exams, shortened their residency program and medical school tenure. Traditional teaching and learning method has faced significant disruption during this time and the situation has pushed us to adapt to e-learning. Most national and international cancer meetings were converted into a virtual platform during this time. E-learning ensures a safe environment to maintain education during a pandemic. Digital technology-based learning is likely to be used effectively in oncology training even after the pandemic ends. Stakeholders should work towards standardizing e-learning into routine educational modules and create a system of credibility and accountability.

Indexed as

COVID-19LearningMedical educationOncologyPandemics

Identifiers

PMID33794568
PMCPMC8024185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.