SynthesisPostgraduate medical journal2021
'Learning from home': role of e-learning methodologies and tools during novel coronavirus pandemic outbreak.
Synthesis in Postgraduate medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Implementation of Emotional Connection Training in Pediatric Primary Care: Mixed Methods Study.JMIR medical education · 2026Article
- The post-pandemic transformation in Pathophysiology teaching strategies.Frontiers in medicine · 2026Article
- Effects of online cognitive behavioral therapy on depression, negative automatic thoughts, and quality of life in Thai university students during the COVID-19 lockdown in 2021: a quasi-experimental study.Frontiers in psychiatry · 2025Article
- Beyond COVID-19: the impact of recent pandemics on medical students and their education: a scoping review.Medical education online · 2023Article
- Barriers and facilitators to utilizing digital health technologies by healthcare professionals.NPJ digital medicine · 2023Review
- Article
- The First Asynchronous Online Evidence-Based Medicine Course for Syrian Health Workforce: Effectiveness and Feasibility Pilot Study.JMIR formative research · 2022Article
- All-digital training course in neurophysiology: lessons learned from the COVID-19 pandemic.BMC medical education · 2022Article
- Current Status of Radiology Education Online: a Comprehensive Update.SN comprehensive clinical medicine · 2022Review
- Effects of realistic e-learning cases on students' learning motivation during COVID-19.PloS one · 2021Article
- In COVID-19 context : a look back at the transition to exclusive e-learning experiment and the engagement of medical students.La Tunisie medicaleArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDuring the crucial time of coronavirus pandemic, education is being remodelled: opening the doors of electronic learning (e-learning). The review emphasises on the various e-learning methods that can be used in the current scenario.
methodsThe review was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines on databases, namely, PubMed, Google Scholar and Cochrane. Out of 1524 identified articles, after the process of screening and based on the eligibility criteria, 45 full-text articles were reviewed.
resultsThough there are many caveats on the path of successful implementation this is the right time that we step towards e-learning. The article discusses the methods and tools in e-learning that can modify the traditional ways of content delivery, record maintenance, assessment and feedback.
conclusionDuring the period of 'planet arrest', when the whole world is locked down with the motive of social distancing, let us stay connected with e-learning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.