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Is metformin use associated with low mortality in patients with type 2 diabetes mellitus hospitalized for COVID-19? a multivariable and propensity score-adjusted meta-analysis

Feb 2023  
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Metformin for COVID-19
3rd treatment shown to reduce risk in July 2020
 
*, now with p < 0.00000000001 from 93 studies.
No treatment is 100% effective. Protocols combine treatments. * >10% efficacy, ≥3 studies.
4,500+ studies for 81 treatments. c19early.org
Meta analysis of 22 metformin studies, showing significantly lower mortality with metformin use prior to hospitalization.
22 meta analyses show significant improvements with metformin for mortality1-21, hospitalization7,13, progression1, and severity8,9,13.
Currently there are 93 metformin for COVID-19 studies, showing 35% lower mortality [31‑39%], 33% lower ventilation [17‑46%], 17% lower ICU admission [6‑26%], 18% lower hospitalization [11‑23%], and 5% fewer cases [-4‑13%].
Ma et al., 23 Feb 2023, peer-reviewed, 2 authors. Contact: mahesh.krishnamurthy@sluhn.org.
This PaperMetforminAll
Is metformin use associated with low mortality in patients with type 2 diabetes mellitus hospitalized for COVID-19? a multivariable and propensity score-adjusted meta-analysis
Zhiyuan Ma, Mahesh Krishnamurthy
PLOS ONE, doi:10.1371/journal.pone.0282210
Background Coronavirus disease 2019 (COVID-19) is a new pandemic that the entire world is facing since December of 2019. Increasing evidence has shown that metformin is linked to favorable outcomes in patients with COVID-19. The aim of this study was to address whether outpatient or inpatient metformin therapy for type 2 diabetes mellitus is associated with low inhospital mortality in patients hospitalized for COVID-19. Methods We searched studies published in PubMed, Embase, Google Scholar and Cochrane Library up to November 1, 2022. Raw event data extracted from individual study were pooled using the Mantel-Haenszel approach. Odds ratio (OR) or hazard ratio (HR) adjusted for covariates that potentially confound the association using multivariable regression or propensity score matching was pooled by the inverse-variance method. Random effect models were applied for meta-analysis due to variance among studies. Results Twenty-two retrospective observational studies were selected. The pooled unadjusted OR for outpatient metformin therapy and in-hospital mortality was 0.48 (95% CI, 0.37-0.62) and the pooled OR adjusted with multivariable regression or propensity score matching was 0.71 (95% CI, 0.50-0.99). The pooled unadjusted OR for inpatient metformin therapy and in-hospital mortality was 0.18 (95% CI, 0.10-0.31), whereas the pooled adjusted HR was 1.10 (95% CI, 0.38-3.15).
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'year': '2021', 'journal-title': 'Diabetes Res Clin Pract'}, { 'issue': '23', 'key': 'pone.0282210.ref046', 'doi-asserted-by': 'crossref', 'first-page': '2417', 'DOI': '10.1001/jama.2020.7819', 'article-title': 'Overlap Weighting: A Propensity Score Method That Mimics Attributes of ' 'a Randomized Clinical Trial', 'volume': '323', 'author': 'LE Thomas', 'year': '2020', 'journal-title': 'JAMA'}], 'container-title': 'PLOS ONE', 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'https://dx.plos.org/10.1371/journal.pone.0282210', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2023, 2, 23]], 'date-time': '2023-02-23T18:31:42Z', 'timestamp': 1677177102000}, 'score': 1, 'resource': {'primary': {'URL': 'https://dx.plos.org/10.1371/journal.pone.0282210'}}, 'subtitle': [], 'editor': [{'given': 'Jennifer A.', 'family': 'Hirst', 'sequence': 'first', 'affiliation': []}], 'short-title': [], 'issued': {'date-parts': [[2023, 2, 23]]}, 'references-count': 46, 'journal-issue': {'issue': '2', 'published-online': {'date-parts': [[2023, 2, 23]]}}, 'URL': 'http://dx.doi.org/10.1371/journal.pone.0282210', 'relation': {}, 'ISSN': ['1932-6203'], 'subject': ['Multidisciplinary'], 'container-title-short': 'PLoS ONE', 'published': {'date-parts': [[2023, 2, 23]]}}
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Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
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