ArticleCureus2020
The Possibility and Cause of Relapse After Previously Recovering From COVID-19: A Systematic Review.
Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Repeated SARS-CoV-2 Positivity: Analysis of 123 Cases.Viruses · 2021Pooled it
- Recurrent SARS-CoV-2 infections and their potential risk to public health - a systematic review.PloS one · 2021Pooled it
- Balancing strategies in vaccination and mask-wearing for Chinese medical staff in post-COVID-19 era: a modelling study and cost-effectiveness analysis.Journal of global health · 2025Article
- Association of Myelin Oligodendrocyte Glycoprotein Antibody-associated Disease with Coronavirus Disease 2019 Vaccination and Infection: A Case Report of Cortical Encephalitis and Transverse Myelitis Relapse.Internal medicine (Tokyo, Japan) · 2023Article
- Choice of SARS-CoV-2 diagnostic test: challenges and key considerations for the future.Critical reviews in clinical laboratory sciences · 2022Review
- Observational
- Overview of the pathogenesis of COVID-19 (Review).Experimental and therapeutic medicine · 2021Review
- Incidence of COVID-19 recurrence among large cohort of healthcare employees.Annals of epidemiology · 2021Article
- Incidence of delayed asymptomatic COVID-19 recurrences in a 6-month longitudinal study.The Journal of infection · 2021Article
- A systematic review and meta-analysis of discharged COVID-19 patients retesting positive for RT-PCR.EClinicalMedicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The severe acute respiratory distress syndrome coronavirus-2 (SARS-Cov-2) is a novel coronavirus that is believed to be mainly transmitted via droplet and contact transmission. While research is focusing on epidemiology, transmission, vaccine development, and therapeutics for coronavirus disease 2019 (COVID-19), there is a possibility of disease relapse. There are reports of patients who tested positive for SARS-Cov-2 after clinical recovery and initial clearance of the virus. Objective This systematic review aims to identify the trends of COVID-19 relapse, the effects of co-morbidities on it, and associated mortality rates. Methods We conducted a systematic search during March and April 2020 for research articles on the relapse of COVID-19 using two primary databases, PubMed and Embase. Results A total of 13 eligible studies were screened of which 11 (case reports) were eligible for data extraction. The earliest to report relapse was after two days of discharge and the latest was 22 days after discharge. The mean number of days to relapse was 12 days and the median number was seven days. There was incomplete information about comorbidities. No mortalities were reported at the time of the study.
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Registered trials
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.