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Fig 1.

Flow diagram outlining the search approach and the criteria for including or excluding studies, adhering to the PRISMA-2009 guidelines.

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Table 1.

Summary characteristics of the selected studies.

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Table 2.

Clinical features, co-morbidities, and treatment of patients with COVID-19 and MM.

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Table 2 Expand

Fig 2.

Forest plot for (a) hospitalization rate, (b) ICU admission rate, (c) mortality rate, and (d) survival rate among patients with COVID-19 and multiple myeloma based on a random-effects model.

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Fig 3.

Funnel plots presenting the publication bias among selected studies on (a) hospitalization rate, (b) ICU admission rate, (c) mortality rate, and (d) survival rate.

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Fig 4.

Sensitivity analysis exploring the influence of each study on the pooled (a) hospitalization rate, (b) ICU admission rate, (c) mortality rate, and (d) survival rate using the leave-one-out method. Green dot, pooled effect estimate; green horizontal line, confidence interval; red vertical line, pooled effect estimate.

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Table 3.

Egger test results for each of the outcomes.

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Fig 5.

Subgroup analysis for (a) hospitalization rate, (b) ICU admission rate, (c) mortality rate, (d) survival rate in patients with COVID-19 and multiple myeloma by different study characteristics.

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Table 4.

Subgroup analysis for hospitalization rate, ICU admission rate, mortality rate, survival rate in patients with COVID-19 and multiple myeloma by co-morbidities.

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Table 5.

Meta-regression coefficients for study characteristics and patients’ co-morbidities.

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