File:Long term covid-19.jpg
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Summary
[edit]DescriptionLong term covid-19.jpg |
Italiano: Effetti a lungo termine della malattia da coronavirus 2019 (COVID-19). La meta-analisi degli studi includeva una stima per uno o più sintomi riferiti che l'80% dei pazienti con COVID-19 ha sintomi a lungo termine. Abbreviazioni: proteina C-reattiva (CRP), tomografia computerizzata (TC), interleuchina-6 (IL-6), ormone N-terminale (NT) -pro BNP (NT-proBNP), disturbo ossessivo compulsivo (DOC), post- disturbo traumatico da stress (PTSD). |
Date | |
Source | Lopez-Leon, Sandra (2021-01-01). "More Than 50 Long-Term Effects of COVID-19: A Systematic Review and Meta-Analysis". Research Square. DOI:10.21203/rs.3.rs-266574/v1. PMID 33688642. |
Author |
Sandra Lopez-Leon, Talia Wegman-Ostrosky, Instituto Nacional de Cancerología: Instituto Nacional de Cancerologia. Carol Perelman, National Autonomous University of Mexico: Universidad Nacional Autonoma de Mexico. Rosalinda Sepulveda, Harvard University T H Chan School of Public Health. Paulina Rebolledo, Emory University School of Medicine. Angelica Cuapio, Karolinska Institute: Karolinska Institutet. Sonia Villapol, Houston Methodist Research Institute |
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current | 11:34, 29 April 2021 | 781 × 900 (233 KB) | OppidumNissenae (talk | contribs) | Uploaded a work by Sandra Lopez-Leon, Talia Wegman-Ostrosky, Carol Perelman, Rosalinda Sepulveda, Paulina Rebolledo, Angelica Cuapio, and Sonia Villapol Novartis Pharmaceuticals from {{cite | last=Lopez-Leon | first=Sandra | last2=Wegman-Ostrosky | first2=Talia | last3=Perelman | first3=Carol | last4=Sepulveda | first4=Rosalinda | last5=Rebolledo | first5=Paulina | last6=Cuapio | first6=Angelica | last7=Villapol | first7=Sonia | title=More Than 50 Long-Term Effects of COVID-19: A Systematic... |
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IIM version | 6,737 |
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Horizontal resolution | 300 dpi |
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Image width | 1,562 px |
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Date and time of digitizing | 19:04, 4 March 2021 |
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File change date and time | 08:35, 12 March 2021 |
Date metadata was last modified | 08:35, 12 March 2021 |
Unique ID of original document | xmp.did:035963C44782EB1187F68F798C5E2973 |