Effect of cancer on outcome of COVID-19 patients: a systematic review and meta-analysis of studies of unvaccinated patients
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Table 1
Selected characteristics of studies included in the meta-analysis – all cancers.
References | Country | N patients | N outcomes | Quality score | Comparison | Outcome | RR/OR* | 95% CI |
---|---|---|---|---|---|---|---|---|
Dai et al., 2020 | China | 641 | 105 | 9.25 | Internal | Mortality | 2.34 | 1.15–4.77 |
ICU | 2.84 | 1.59–5.08 | ||||||
Severity | 2.79 | 1.75–4.44 | ||||||
Haase et al., 2021 | Denmark | 323 | 15 | 11.5 | Internal | Mortality | 3.18 | 1.66–6.09 |
Meng et al., 2020 | China | 436 | 109 | 9.5 | Internal | Mortality | 2.98† | 1.76–5.05 |
Sun et al., 2020 | USA | 323 | 67 | 10.5 | Internal | Mortality | 5.67† | 1.49–21.58 |
ICU | 1.91† | 0.90–4.06 | ||||||
Hospitalization | 2.16† | 1.12–4.17 | ||||||
Nogueira et al., 2020 | Portugal | 20,293 | 611 | 9.25 | Internal | Mortality | 1.48 | 1.07–2.05 |
Zandkarimi et al., 2020 | Iran | 1831 | 32 | 6.5 | Internal | Mortality | 3.57 | 1.82–7.02 |
Zhao et al., 2020 | China | 539 | 23 | 6.5 | Internal | Mortality | 3.23 | 1.39–7.51 |
Harrison et al., 2020 | USA | 31,461 | 1966 | 9.75 | Internal | Mortality | 0.87† | 0.72–1.09 |
Gupta et al., 2020 | USA | 2215 | 112 | 7.5 | Internal | Mortality | 2.20 | 1.50–3.22 |
Ganatra et al., 2020 | USA | 2476 | 195 | 9.25 | Internal | Mortality | 3.53 | 2.95–4.23 |
Severity | 3.75 | 3.17–4.44 | ||||||
Hospitalization | 2.78 | 2.37–3.26 | ||||||
Westblade et al., 2020 | USA | 2294 | 100 | 8.5 | Internal | Mortality | 1.29 | 1.04–1.61 |
Severity | 0.76 | 0.57–1.01 | ||||||
Wang et al., 2020 | USA | 16,570 | 1200 | 11 | Internal | Mortality | 3.20 | 2.89–3.55 |
Hospitalization | 2.85 | 2.63–3.09 | ||||||
Cherri et al., 2020 | Italy | 2039 | 53 | 11 | Internal | Mortality | 2.22† | 1.25–3.94 |
Görgülü and Duyan, 2020 | Turkey | 483 | 75 | 11 | Internal | Mortality | 1.81† | 0.88–3.72 |
ICU | 2.14 | 1.26–3.63 | ||||||
Jiménez et al., 2020 | Spain | 1549 | 103 | 9.75 | Internal | Mortality | 4.29† | 2.40–7.67 |
Thompson et al., 2020 | UK | 470 | 87 | 10 | Internal | Mortality | 2.20† | 1.27–3.81 |
Li et al., 2020 | China | 1859 | 65 | 9 | External | Mortality | 1.59† | 0.94–2.68 |
Shoumariyeh et al., 2020 | Germany | 78 | 39 | 8.5 | External | Mortality | 1.01 | 0.41–2.49 |
Severity | 1.15 | 0.61–2.17 | ||||||
Mehta et al., 2020 | USA | 1308 | 218 | 8.5 | External | Mortality | 2.38 | 1.69–3.35 |
Rogado et al., 2020 | Spain | 42,495 | 45 | 8 | External | Mortality | 4.82 | 2.67–8.71 |
Brar et al., 2020 | USA | 585 | 117 | 9.5 | External | Mortality | 0.98 | 0.58–1.66 |
Severity | 0.80 | 0.57–1.13 | ||||||
Zhang et al., 2020b | China | 217 | 112 | 9.5 | External | Mortality | 4.83 | 2.87–8.12 |
ICU | 2.60 | 1.87–3.62 | ||||||
Severity | 1.43 | 1.09–1.87 | ||||||
Sorouri et al., 2020 | Iran | 159 | 53 | 10 | External | Mortality | 3.27† | 0.93–11.55 |
ICU | 1.52† | 0.56–4.12 | ||||||
Lunski et al., 2021 | USA | 5145 | 312 | 9.5 | External | Mortality | 2.03† | 1.44–2.87 |
Atalla et al., 2021 | USA | 339 | 27 | 10.5 | Internal | Hospitalization | 3.34 | 1.81–6.16 |
Cheng et al., 2020 | China | 1476 | 29 | 6 | Internal | Severity | 2.14 | 0.97–4.73 |
Song et al., 2021 | China | 961 | 21 | 7 | Internal | Severity | 2.77 | 1.16–6.62 |
Liang et al., 2020 | China | 1590 | 18 | 8.75 | Internal | Severity | 4.07† | 1.23–13.45 |
Bauer et al., 2021 | USA | 1449 | 108 | 8.5 | Internal | Severity | 1.72† | 1.11–2.67 |
Tian et al., 2020 | China | 751 | 232 | 9 | External | Severity | 3.75 | 2.71–5.19 |
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*
Results derived from data reported in the publication are in italics.
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†
Risk estimates derived from multivariate analysis.
-
RR: Relative Risk; OR: Odds Ratio; CI: Confidence interval; ICU: Intensive Care Unit.
Table 2
Selected characteristics of studies included in the meta-analysis – hematological tumors.
Author – Year | Country | Sample size (n) | Cancer (n)O number of cancer (%) | Quality assessment (CASP) | Comparison | Outcome | RR/OR* | IC |
---|---|---|---|---|---|---|---|---|
Dai et al., 2020 | China | 641 | 9 | 9.25 | Internal | Mortality | 9.07 | 2.16–38.13 |
Haase et al., 2021 | Denmark | 323 | 13 | 11.5 | Internal | Mortality | 1.83 | 0.85–3.93 |
Meng et al., 2020 | China | 327 | 16 | 9.5 | Internal | Mortality | 2.83† | 0.96–8.32 |
Yigenoglu et al., 2021 | Turkey | 1480 | 740 | 10.5 | External | Mortality | 2.20 | 1.93–2.50 |
Shah et al., 2020 | UK | 1183 | 68 | 9.75 | External | Mortality | 1.74† | 1.12–2.71 |
Sanchez-Pina et al., 2020 | Spain | 92 | 39 | 10.25 | External | Mortality | 6.65† | 1.87–23.67 |
Passamonti et al., 2020 | Italy | 536 | 11 | External | Mortality | 2.04† | 1.77–2.35 | |
Cattaneo et al., 2020 | Italy | 204 | 102 | 9 | External | Mortality | 2.10 | 1.14–3.85 |
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*
italics characters when calculated manually.
-
†
Risk estimates derived from multivariate analysis.
-
CASP: Critical Appraisal Skills Programme; RR: Relative Risk; OR: Odds Ratio; IC: Interval Confidence; ICU: Intensive Care Unit.
Additional files
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Supplementary file 1
Protocol.
- https://cdn.elifesciences.org/articles/74634/elife-74634-supp1-v2.docx
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Supplementary file 2
Quality Assessment.
- https://cdn.elifesciences.org/articles/74634/elife-74634-supp2-v2.docx
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Reporting standard 1
PRISMA checklist.
- https://cdn.elifesciences.org/articles/74634/elife-74634-repstand1-v2.pdf
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Effect of cancer on outcome of COVID-19 patients: a systematic review and meta-analysis of studies of unvaccinated patients
eLife 11:e74634.
https://doi.org/10.7554/eLife.74634