Test of a Homeopathic Algorithm for COVID-19: the Importance of a Broad Perspective.

IF 1.2 4区医学 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE

Homeopathy Pub Date : 2023-02-01 DOI:10.1055/s-0042-1746196

Anjali Miglani, Raj Kumar Manchanda, Amrit Kalsi, Prabhjeet Kaur, Beenu Saini, Amit Arora, Cheshta Nagrath, Jithesh Thavarayil Kannoth, Ram Kumar Kudiyarasu, Rahul Vardaan, Smita Brahmachari, Ankit Gupta, Shelly Arora, Shirin Balan, Kavita Sharma, Malaya Kumar Ray, Anu Chawla, Manjula Ghuliani, Anurag Pandey, Philippa Fibert, Lex Rutten

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引用次数: 2

Abstract

Background: Most of the symptoms of coronavirus disease 2019 (COVID-19) are covered by large repertory rubrics and hence many remedies have been proposed as "genus epidemicus". The aim of this study was to combine the information from various data collections to prepare a COVID-19 Bayesian mini-repertory/an algorithm-based application (app) and test it.

Methods: In July 2021, 1,161 COVID-19 cases from 100 practitioners globally were combined. These data were used to calculate "condition-confined" likelihood ratios (LRs) for 59 symptoms of COVID-19. Out of these, 35 symptoms of the 11 medicines that had at least 20 cases each were considered. The information was entered in a spreadsheet (algorithm) to calculate combined LRs of specific combinations of symptoms. The algorithm contained the medicines Arsenicum album, Belladonna, Bryonia alba, Camphora, Gelsemium sempervirens, Hepar sulphuris, Mercurius solubilis, Nux vomica, Phosphorus, Pulsatilla and Rhus toxicodendron. To test concordance, the doctors were then invited to re-enter the symptoms of their cases into this algorithm.

Results: The algorithm was re-tested on 358 cases, and concordance was seen in 288 cases. On analysis of the data, bias was noticed in the Merc group, which was therefore excluded from the algorithm. The remaining 10 medicines, representing 81.8% of all cases, were included in the preparation of the next version of the homeopathic mini-repertory and app.

Conclusion: The Bayesian mini-repertory and app is based on qualitative clinical experiences of various doctors in COVID-19 and gives indications for specific medicines for common COVID-19 symptoms. It is freely available [English: https://hpra.co.uk/; Spanish: https://hpra.co.uk/es ] for further testing and utilization by the profession.

查看原文本刊更多论文

COVID-19顺势疗法算法的测试:广阔视角的重要性。

背景:2019冠状病毒病(COVID-19)的大部分症状都有大量的知识库，因此许多治疗方法被提出为“流行病属”。本研究的目的是将各种数据收集的信息结合起来，制作一个基于算法的COVID-19贝叶斯迷你库/应用程序(app)并对其进行测试。方法:汇总2021年7月全球100名从业人员的1161例COVID-19病例。这些数据用于计算59种COVID-19症状的“条件限制”似然比(LRs)。其中，11种药物的35种症状，每种至少有20例被考虑。将信息输入到电子表格(算法)中，以计算特定症状组合的综合LRs。该算法包含药物砷、颠茄、白龙葵、香樟、生草、硫肝、可溶性汞、马钱子、磷、白头翁和毒藤。为了测试一致性，医生们被邀请将他们病例的症状重新输入到这个算法中。结果:该算法对358例进行复验，288例符合。在对数据的分析中，发现Merc组存在偏见，因此将其排除在算法之外。剩余的10种药物，占所有病例的81.8%，被纳入下一版本顺势疗法迷你储备库和应用程序的编制。结论:贝叶斯迷你储备库和应用程序基于不同医生在COVID-19中的定性临床经验，并针对常见的COVID-19症状给出了特定药物的适应症。免费下载[中文:https://hpra.co.uk/;西班牙语:https://hpra.co.uk/es]供专业人士进一步测试和使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Homeopathy 医学-全科医学与补充医学

CiteScore

3.40

自引率

70.60%

发文量

审稿时长

20.1 weeks

期刊介绍： Homeopathy is an international peer-reviewed journal aimed at improving the fundamental understanding and clinical practice of homeopathy by publishing relevant high-quality original research articles, reviews, and case reports. It also promotes commentary and debate on matters of topical interest in homeopathy.