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Role of intravenous vitamin C on outcomes in hospitalized patients with moderate or severe COVID-19: a real life data of Turkish patients

Uz et al., Inflammopharmacology, doi:10.1007/s10787-024-01597-7
Nov 2024  
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Mortality, high dose 84% Improvement Relative Risk Mortality, low dose 90% Vitamin C for COVID-19  Uz et al.  LATE TREATMENT Is late treatment with vitamin C beneficial for COVID-19? Retrospective 270 patients in Turkey Lower mortality with vitamin C (p=0.05) c19early.org Uz et al., Inflammopharmacology, November 2024 Favorsvitamin C Favorscontrol 0 0.5 1 1.5 2+
Vitamin C for COVID-19
6th treatment shown to reduce risk in September 2020, now with p = 0.00000004 from 74 studies, recognized in 12 countries.
Lower risk for mortality, ICU, hospitalization, and recovery.
No treatment is 100% effective. Protocols combine treatments.
5,300+ studies for 116 treatments. c19early.org
Retrospective 270 moderate/severe hospitalized COVID-19 patients, showing lower mortality with high (25 g/day) or low-dose (2 g/day) intraveneous vitamin C.
This is the 73rd of 74 COVID-19 controlled studies for vitamin C, which collectively show efficacy with p=0.00000004 (1 in 25 million).
21 studies are RCTs, which show efficacy with p=0.0012.
risk of death, 84.2% lower, OR 0.16, p = 0.04998, treatment 41, control 46, adjusted per study, high dose, multivariable, RR approximated with OR.
risk of death, 90.2% lower, OR 0.10, p = 0.004, treatment 183, control 46, adjusted per study, low dose, multivariable, RR approximated with OR.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Uz et al., 13 Nov 2024, retrospective, Turkey, peer-reviewed, 6 authors.
This PaperVitamin CAll
DOI record: { "DOI": "10.1007/s10787-024-01597-7", "ISSN": [ "0925-4692", "1568-5608" ], "URL": "http://dx.doi.org/10.1007/s10787-024-01597-7", "alternative-id": [ "1597" ], "assertion": [ { "group": { "label": "Article History", "name": "ArticleHistory" }, "label": "Received", "name": "received", "order": 1, "value": "17 October 2024" }, { "group": { "label": "Article History", "name": "ArticleHistory" }, "label": "Accepted", "name": "accepted", "order": 2, "value": "1 November 2024" }, { "group": { "label": "Article History", "name": "ArticleHistory" }, "label": "First Online", "name": "first_online", "order": 3, "value": "13 November 2024" }, { "group": { "label": "Declarations", "name": "EthicsHeading" }, "name": "Ethics", "order": 1 }, { "group": { "label": "Competing Interests", "name": "EthicsHeading" }, "name": "Ethics", "order": 2, "value": "The authors have no relevant financial or non-financial interests to disclose." }, { "group": { "label": "Ethical approval", "name": "EthicsHeading" }, "name": "Ethics", "order": 3, "value": "This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Ondokuz Mayıs University (13.04.2022/OMÜ KAEK 2022-167). In addition, this trial was approved by the Academic and Ethichs Committee of Medicana International Samsun Hospital (03.03.2022/2) and the General Directorate of Health Services at the Republic of Turkey Ministry of Health (16.03.2022)." }, { "group": { "label": "Consent to participate", "name": "EthicsHeading" }, "name": "Ethics", "order": 4, "value": "Informed consent was obtained from all individual participants included in the study." }, { "group": { "label": "Consent to publish", "name": "EthicsHeading" }, "name": "Ethics", "order": 5, "value": "Our manuscript does not contain any individual person’s data." } ], "author": [ { "ORCID": "http://orcid.org/0000-0001-9326-4301", "affiliation": [], "authenticated-orcid": false, "family": "Uz", "given": "Burak", "sequence": "first" }, { "affiliation": [], "family": "İnce", "given": "Özgür", "sequence": "additional" }, { "affiliation": [], "family": "Gümüş", "given": "Can", "sequence": "additional" }, { "affiliation": [], "family": "Gökosmanoğlu", "given": "Feyzi", "sequence": "additional" }, { "affiliation": [], "family": "Özgür", "given": "Emrah Gökay", "sequence": "additional" }, { "affiliation": [], "family": "Bekiroğlu", "given": "Gülnaz Nural", "sequence": "additional" } ], "container-title": "Inflammopharmacology", "container-title-short": "Inflammopharmacol", "content-domain": { "crossmark-restriction": false, "domain": [ "link.springer.com" ] }, "created": { "date-parts": [ [ 2024, 11, 13 ] ], "date-time": "2024-11-13T12:23:46Z", "timestamp": 1731500626000 }, "deposited": { "date-parts": [ [ 2024, 11, 13 ] ], "date-time": "2024-11-13T12:32:22Z", "timestamp": 1731501142000 }, "indexed": { "date-parts": [ [ 2024, 11, 14 ] ], "date-time": "2024-11-14T05:22:45Z", "timestamp": 1731561765911, "version": "3.28.0" }, "is-referenced-by-count": 0, "issued": { "date-parts": [ [ 2024, 11, 13 ] ] }, "language": "en", "license": [ { "URL": "https://www.springernature.com/gp/researchers/text-and-data-mining", "content-version": "tdm", "delay-in-days": 0, "start": { "date-parts": [ [ 2024, 11, 13 ] ], "date-time": "2024-11-13T00:00:00Z", "timestamp": 1731456000000 } }, { "URL": "https://www.springernature.com/gp/researchers/text-and-data-mining", "content-version": "vor", "delay-in-days": 0, "start": { "date-parts": [ [ 2024, 11, 13 ] ], "date-time": "2024-11-13T00:00:00Z", "timestamp": 1731456000000 } } ], "link": [ { "URL": "https://link.springer.com/content/pdf/10.1007/s10787-024-01597-7.pdf", "content-type": "application/pdf", "content-version": "vor", "intended-application": "text-mining" }, { "URL": "https://link.springer.com/article/10.1007/s10787-024-01597-7/fulltext.html", "content-type": "text/html", "content-version": "vor", "intended-application": "text-mining" }, { "URL": "https://link.springer.com/content/pdf/10.1007/s10787-024-01597-7.pdf", "content-type": "application/pdf", "content-version": "vor", "intended-application": "similarity-checking" } ], "member": "297", "original-title": [], "prefix": "10.1007", "published": { "date-parts": [ [ 2024, 11, 13 ] ] }, "published-online": { "date-parts": [ [ 2024, 11, 13 ] ] }, "publisher": "Springer Science and Business Media LLC", "reference": [ { "DOI": "10.5937/jomb0-27554", "author": "M Ahnach", "doi-asserted-by": "publisher", "first-page": "500", "issue": "4", "journal-title": "J Med Biochem", "key": "1597_CR1", "unstructured": "Ahnach M, Zbiri S, Nejjari S, Ousti F, Elkettani C (2020) C-reactive protein as an early predictor of COVID-19 severity. 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Late treatment
is less effective
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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