ArticleHeliyon2023
What contributes to the re-positive nucleic acid test results for the omicron variant of SARS-CoV-2 in the shelter cabin hospital in Shanghai, China?
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Incidence of recovery rate and predictors among hospitalized COVID- 19 infected patients in Ethiopia; a systemic review and meta-analysis.BMC public health · 2025Pooled it
- Prior carbapenem exposure increases the incidence of ventilator-associated pneumonia in critically Ill children.BMC infectious diseases · 2024Article
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14 authors.
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Abstract
Background: Despite the increasing reports of re-positive SARS-CoV-2 cases after recovery and discharge from hospitals, our knowledge remains very limited regarding the contributing factors of re-positivity and its roles in the transmission and epidemiology of the Omicron variant. Methods: In this retrospective study, re-positivity is defined as the positive nucleic acid result (Ct < 35) following two consecutive negative results during hospitalization. A total of 751 patients from Shanghai Shelter Cabin Hospital were enrolled and divided with a ratio of about 1:2 into the re-positivity group and the non-re-positivity group. Patients required three consecutive negative results daily as the de-isolation criterion. The follow-up time of discharged patients lasted five weeks. Univariate regression analysis was used to compare variables between the re-positivity and non-re-positivity groups, and the single re-positivity and multiple re-positivity groups, with P < 0.05 defined as the statistical significance of differences. Subsequently, variables with P < 0.2 were subjected to multivariate logistic regression analysis to investigate the odds ratio (OR) of re-positivity and the influencing factors of re-positivity of the Omicron variant. Results: The re-positivity group had a higher proportion of males (68.1% vs 58.1%, p = 0.000), a higher education level (31.9% vs 12.7%, p = 0.007), a longer hospitalization duration (13 days vs 8 days, p = 0.000), and a higher Convidecia vaccination rate (6.0% vs 2.4%, p = 0.011). Further multivariable analysis showed male (OR = 2.168, p = 0.000), Convidecia vaccination (OR = 2.634, p = 0.014), hospitalization duration (OR = 2.146, p = 0.000) and education level (OR = 1.595, p = 0.007) were associated with re-positivity. The average rate of re-positivity was 25% during hospitalization and decreased to 0.4% among discharged patients. Re-positivity was more common in the period with a larger number of hospitalized patients and in larger wards with a larger number of patients. Conclusion: A large number of hospitalized patients, large-sized wards, and gender are significant contributing factors to re-positivity. Division of the shelter cabin hospital into small independent wards and requirement of three consecutive results daily as the de-isolation criterion might be more beneficial to the control and prevention of the spread of the Omicron variant.
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