Evidence map›Paper›PMID 37297731›Full record

ArticleHealthcare (Basel, Switzerland)2023

Constructing a Learning Curve to Discuss the Medical Treatments and the Effect of Vaccination of COVID-19.

Yi-Tui Chen, Emily Chia-Yu Su, Fang Ming Hung, Tomoru Hiramatsu, Tzu-Jen Hung, Chao-Yang Kuo

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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

6 authors.

Yi-Tui ChenSmart Healthcare Interdisciplinary College, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan.ORCID 0000-0001-7362-1965
Emily Chia-Yu SuGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City 235, Taiwan.ORCID 0000-0003-4801-5159
Fang Ming HungDepartment of Surgical Intensive Care Unit, Far Eastern Memorial Hospital, New Taipei City 220, Taiwan.
Tomoru HiramatsuSchool of Policy Studies, Kwansei Gakuin University, Gakuen Uegahara 1, Sanda 669-1330, Japan.
Tzu-Jen HungShin Kong Wu Ho-Su Memorial Hospital, Taipei 111, Taiwan.
Chao-Yang KuoSmart Healthcare Interdisciplinary College, National Taipei University of Nursing and Health Sciences, Taipei 112, Taiwan.ORCID 0000-0001-8867-5683

Funding

National Taipei University of Nursing and Health Science 107EH12-505
6 · The paper itself

Abstract

Acknowledging the extreme risk COVID-19 poses to humans, this paper attempted to analyze and compare case fatality rates, identify the existence of learning curves for COVID-19 medical treatments, and examine the impact of vaccination on fatality rate reduction. Confirmed cases and deaths were extracted from the "Daily Situation Report" provided by the World Health Organization. The results showed that low registration and low viral test rates resulted in low fatality rates, and the learning curve was significant for all countries except China. Treatment for COVID-19 can be improved through repeated experience. Vaccinations in the U.K. and U.S.A. are highly effective in reducing fatality rates, but not in other countries. The positive impact of vaccines may be attributed to higher vaccination rates. In addition to China, this study identified the existence of learning curves for the medical treatment of COVID-19 that can explain the effect of vaccination rates on fatalities.

Indexed as

COVID-19fatalitylearning curvesmedical treatments

Identifiers

PMID37297731
PMCPMC10252948

What OpenQuestion holds

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LicenceCC BY
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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.