Evidence map›Paper›PMID 36698791›Full record

ArticleFrontiers in medicine2022

Constructing a diversified online neurology teaching model under the COVID-19.

Haojun Yang, Yishu Fan, Zhuohui Chen, Shiyu Zhang, Haiyue Wu, Xinhang Hu, Tong Wu, Mengqi Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
–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

1 citing paper in PubMed.

  1. 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.

Haojun YangDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yishu FanDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Zhuohui ChenDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Shiyu ZhangDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Haiyue WuDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xinhang HuDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Tong WuDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Mengqi ZhangDepartment of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To construct a diversified and comprehensive network teaching model to provide highly qualified medical teaching in neurology under COVID-19 pandemic. Materials and methods: Published studies on medical education were systematically reviewed and summarized. Based on previous studies and our experience, we constructed a novel online neurology teaching model and applied it to real scene. Students taking traditional in class lessons and online lessons were asked to finish the test, respectively, to compare the efficiency of learning. Questionnaires were designed and assigned to get the feedback from students. Results: The average test score of students who take online class (84.27 ± 4.64) was significantly higher than those who take in class lessons (82.08 ± 6.17) ( Conclusion: Traditional single-mode teaching can no longer meet the needs of current medical education, especially under the rampant epidemic. This novel teaching mode, which orchestrates high-tech tools, diverse teaching methods and traditional teaching concepts, provides the solution to the challenge faced by traditional medical education. We believe that this novel online teaching mode will boost neurology education and inspire educators in other fields during this tough period.

Indexed as

COVID-19education reformmedicineneurologyonline teaching

Identifiers

PMID36698791
PMCPMC9868292

What OpenQuestion holds

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Registered trials

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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.