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Journal of clinical laboratory analysis · 2022

Comorbidities and mortality rate in COVID-19 patients with hematological malignancies: A systematic review and meta-analysis.

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Naimi A, Yashmi I, Jebeleh R, Imani Mofrad M, Azimian Abhar S, Jannesar Y, Heidary M, Pakzad R

Аннотация

IntroductionThe global pandemic of coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It seems that there is an association between blood cancer and an increased risk of severe COVID-19. This study aimed to review the literature reporting the COVID-19 outcomes in patients with hematological malignancies.Material and methodsIn this systematic review and meta-analysis, Pubmed, Embase, and Web of Science databases were searched using the following keywords: COVID-19, SARS-CoV-2, blood cancer, myeloma, lymphoma, and leukemia. All the published articles in English from January 1, 2019, until March 10, 2021 were collected and evaluated.ResultsIn total, 53 studies with 2395 patients were included based on inclusion criteria. Most of these studies took place in Spain (14.81%), followed by the USA (11.11%), China (9.26%), and the UK (9.26%). More than half of COVID-19 patients with hematological malignancy were male (56.73%). Oxygen therapy played an important role in COVID-19 treatment. Moreover, anticoagulant therapies such as enoxaparin and heparin were two great assists for these patients. Fever (74.24%), cough (67.64%), and fatigue (53.19%) were the most reported clinical manifestations. In addition, hypertension and dyslipidemia were the most common comorbidities. The mortality rate due to COVID-19 in patients with hematological malignancies was 21.34%.ConclusionThis study demonstrated that hematologic cancer patients were more susceptible to a severe COVID-19 than patients without blood cancer. Thus, the management of COVID-19 in these patients requires much more attention, and their screening should perform regularly.

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https://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

INTRODUCTION

The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) caused the current global pandemic of coronavirus disease 2019 (COVID‐19). Although most patients with COVID‐19 have mild symptoms, some have more severe manifestations. 1 Recent findings have suggested an association between cancer and an increased risk of developing severe symptoms of COVID‐19. 2 , 3 , 4 Dai et al. reported that about 39% of the COVID‐19 patients with cancer had severe events such as intensive care unit admission, the need for mechanical ventilation, and even death. They showed that only 8% of the COVID‐19 patients without cancer had those severe symptoms. 5 In addition, hematologic cancer patients with COVID‐19 had a high frequency of severe events like a higher mortality rate and a more severe COVID‐19 course. 6 The immune system dysfunction is one of the main reasons that confirm patients with hematological malignancies are more vulnerable. 7 Moreover, anti‐cancer therapies such as chemotherapy, radiotherapy, and immunosuppressive drugs worsen the condition of these patients. 8 There are a limited number of studies on the prevalence of comorbidities and mortality rate in COVID‐19 patients with hematological malignancies. Therefore, in this systematic review and meta‐analysis, we will comprehensively review the available published literatures reporting the COVID‐19 outcomes and underlying diseases in patients with hematological malignancies from around the world.

MATERIALS AND METHODS

This study was performed following the “Preferred Reporting Items for Systematic Reviews and Meta‐Analyses” (PRISMA) statements. 9

Search strategy

The Pubmed/Medline, Embase, and Web of Science databases, from January 1, 2019, until March 10, 2021, were searched to collect the potentially relevant articles reporting COVID‐19 disease in patients with hematological malignancies. The search was limited solely to publications in English.

The following keywords or Medical Subject Headings (MESH) terms were used in text, title, or abstract with the help of Boolean operators (“and,” “or”): “COVID‐19,” “severe acute respiratory syndrome coronavirus 2,” “SARS‐CoV‐2,” “nCoV disease,” “2019‐nCoV,” “coronavirus disease 2019,” “bone marrow cancer,” “blood cancer,” “myeloma,” “lymphoma,” “Waldenstrom macroglobulinemia,” “leukemia,” “hematological malignancy,” “myelodysplastic syndrome,” and “myeloproliferative disorder.”

Study selection

All the articles reporting COVID‐19 positive patients with at least one type of hematological malignancies were included. In other words, patients with blood cancer infected with the SARS‐CoV‐2 were enrolled in the study. The allogeneic stem cell transplantation patients were included as well. According to World Health Organization (WHO) guidelines, COVID‐19 cases are defined as patients whose reverse transcription‐polymerase chain reaction (RT‐PCR) is positive. Duplicate publications, narrative reviews, meta‐analyses, systematic reviews, editorials, correspondences, guidelines, articles published in languages other than English, and publications without enough data or available only in abstract form were also excluded. The included studies were screened in two stages for eligibility. First, title/abstract screening was done, and then, the full text of those that had the inclusion criteria was retrieved. It is worth noting that although we reviewed case‐report articles to evaluate some variables, only research articles and case series were included for meta‐analysis.

Data extraction

The extracted data included the first author’s name, country of the study, published time, type of study, number of patients, median age, gender, hematological malignancy type, blood cancer therapy, the median duration of blood cancer, COVID‐19 diagnosis method, COVID‐19 therapy, clinical manifestations, laboratory findings, comorbidities, and outcome. Two authors independently applied the inclusion criteria to the potentially relevant article, and discrepancies between the authors were resolved by consensus discussion.

Quality assessment

The quality assessment of the studies was carried out through the critical appraisal checklist provided by the Joanna Briggs Institute (JBI). 10

Meta‐analysis

Data were analyzed using STATA software, version 17.0. The fixed‐effects model and random‐effects model were used to compute pooled estimates of the relative risk. The heterogeneity was quantified by the Cochran Q statistic and I 2 statistical methods. The p ‐value <.05 was considered statistically significant. 11

RESULTS

Characteristics of included studies

Initially, a total of 1169 articles were collected from databases. After removing the duplicates, 704 studies remained. In the screening phase, 548 of them were excluded through the title and abstract evaluation. Out of these studies, 53 met the inclusion pellucid criteria based on the full‐text screening. At the final stage, 15 eligible articles were included in the meta‐analysis (Figure 1 ). Characteristics of the selected articles are summarized in Table 1 . Most of the studies took place in Spain (8/53, 14.81%), followed by the United States (6/53, 11.11%), China (5/53, 9.26%), and the United Kingdom (5/53, 9.26%).

FIGURE 1 Flow diagram detailing review process and study selection
FIGURE 1 Flow diagram detailing review process and study selection

TABLE 1
Characteristics of the included studies

First authorCountryPublish timeType of studyNo. of patients with blood cancer & COVID‐19Median ageMale/femaleType of blood cancerTreatment of blood cancerMedian duration of Blood cancerSARS‐CoV‐2 diagnosis methodCOVID‐19 treatment and ancillary medicationsClinical manifestationsLaboratory findingsOther comorbiditiesOutcomes
Santana 33BrazilFeb 2021Case report147FGrade 3A follicular lymphomarituximab, cyclophosphamide, vincristine, and PREDNRRT‐PCR, CT scansmPDRL, oxygen supportDyspnea, hypoxemiaIncreased: D‐dimer, CRPorganizing pneumoniaDischarged
Ali 34QatarOct 2020Case report149MCLLNoneNRRT‐PCR, CT scansOTV, AZ, HCQ, IV CRO, amoxicillin/clavulanateFever, mild dyspnea, body achesIncreased: WBC, ANC, lymphocyte, monocyte, ferritin, CRP Decreased: AlbuminNoneDischarged
Nesr 35UKSep 2020Case report180FCLLNRNRRT‐PCR, CT scansIV DOX, oxygen supportFever, cough, dyspneaIncreased: Lymphocyte, reticulocyte, LDH, bilirubin, CRP Decreased: Hbcongestive cardiac failure, atrial fibrillation, AIHADischarged
Molina‐Cerrillo 36SpainJan 2021Case report172MCLLIBR4yRT‐PCR, CT scansOxygen support, HCQ, LPV/rCough, sore throat, feverIncreased: D‐dimer, CRP, LDH, lymphocyte, ferritin, IL‐6, IL‐8Hypertension, dyslipidemiaDischarged
Largeaud 37FranceNov 2020Case report183MCLLNRNRRT‐PCR, CT scansParacetamol, amoxicillin, clavulanic acid, corticosteroid therapy, anticoagulant therapy, oxygen supportFever, cough, dyspnea, rectal bleedingIncreased: CRP Decrease: Hb, WBC, ANC, lymphocyte, PLTradiotherapy treated pulmonary neoplasiaDischarged
Bolaman 38TurkeyFeb 2021Case report1NRFDLBCLChemotherapyNRRT‐PCR, CT scansHCQ, AZ, favipiravir, oxygen supportCough, dyspnea, orthopneaIncreased: Fibrinogen, D‐dimer, LDH Decreased: Hb, WBC, lymphocyteNRDeath
Pasin 39AfricaJul 2020Case report120MRefractory NK/T‐cell lymphomarituximab, pembrolizumab, l‐asparaginaseNRRT‐PCR, CT scansRBC transfusions, mPDRL, Oxygen support, IV levofloxacin, supportive therapy, steroid therapyFatigue, fever, cough, dyspneaIncreased: WBC, CRP, LDH, indirect bilirubin Decreased: Hb, PLTEBV, AIHADischarged
Ibrahim 40Saudi ArabiaSep 2020Case report157MCMLImatinib10yRT‐PCR, CT scansParacetamol and antitussive‐ HCQ, AZ, CRO, enoxaparin, oxygen support, mPDRL, LPV/r, ribavirin, IFNCough, fever, nauseaIncreased: WBC, ANC, lymphocyte, D‐dimer, ferritin, LDHDiabetes mellitusDischarged
Chaidos 41UKMay 2020Case series262.5M 2MM 2lenalidomide 1, bortezomib 1, panobinostat 1NRRT‐PCR, CT scansTocilizumab 2, oxygen support 1Fever 2, cough 1, hypoxia 2Increased: CRP 2, ferritin 2, D‐dimer 2NRDischarged 2
O’Kelly 42IrelandMay 2020Case report122FHLABVD, BEACOPP, ICE, brentuximab vedotin, IFRT, pembrolizumab4yRT‐PCR, CT scansTZP, DOX, LPV/r, antibiotics, HCQ, AZ, oxygen support, corticosteroidsCough, fever, sore throat, chills, rigorsIncreased: CRP, LDH Decreased: Lymphocyte, PLTNRDischarge
Day 43UKMay 2020Case series335.6M 3AML 2, ALL 1daunorubicin 2, cytarabine 2, gemtuzumab ozogamicin 2, blinatumomab 1less than 1 yRT‐PCR, CT scansantibiotics 3, anakinra 3, IVIg 2, oxygen support 3Cough 2, rhinorrhea 1, sore throat 1, diarrhea 2, fever 3, rash 2, dyspnea 1Increased: Ferritin 3, triglycerides 3, CRP 1 Decreased: PLT 3, RBC 2, WBC 2, lymphocyte 1Previous seizuresDischarged 3
Bellmann‐Weiler 44AustriaJun 2020Case series365M 3AML 1, follicular lymphoma 1, hairy cell leukemia 1Bendamustine 1, rituximab 18yRT‐PCR, CT scansOxygen support 3, physiotherapy 1, HCQ 1, AZ 1, favipiravir 2, antibiotics 1Fever 2, dyspnea 2, cough 3, asthenia 2, anorexia 1, diarrhea 1Increased: CRP, IL‐6 Decreased: WBC 3, lymphocyte 3, Hb, PLTdiabetes 1, hypertension 2, obesity 3, coronary heart disease 1Discharged 3
Susek 45SwedenAug2020Original article970.4M 6 F 3MM 8, smoldering MM 1daratumumab 6, DEX 8, venetoclax 1, carfilzomib 1, bortezomib 1, lenalidomide 3NRRT‐PCROxygen support 4Fever 9, cough 8, dyspnea 3, diarrhea3, arthralgia3, ageusia 3Increased: CRP 5 Decreased: Hb 9, WBC 3, ANC 2, lymphocyteDiabetes 4, hypertension 3, obesity 2Discharged 5 Died 4
Ye 46ChinaJul 2020Case report172FCLLNRNRRT‐PCR, CT scansLPV/r, IFN, IVIg, ARBFever, coughIncreased: Lymphocyte, D‐dimerNRDischarged
Phillips 47USSep 2020Case report118MALLvincristine, daunorubicin, mPDRLNRRT‐PCROxygen support, corticosteroids, vasopressorFever, coughIncreased: WBC, LDH Decreased: Hb, PLT, hyperuricemiaAIHADischarge
Zamani 48IranJan 2021Case report135FAMLChemotherapyless than 1 yRT‐PCR, CT scansNRDyspnea, malaise, coughNRAMNDeath
Krengli 24ItalyDec 2020Case report162FMMBortezomib‐thalidomide‐DEX, cyclophosphamide, melphalan, radiotherapy, carfilzomib +DEX2yRT‐PCR, CT scansHCQ, darunavir‐cobicistat, oxygen supportCough, fever, dysphagiaIncreased: CRP Decreased: Hbhypercholesterolemia, osteoporosisDeath
Kohla 49QatarDec 2020Case report158MHairy Cell LeukemiaNR0yRT‐PCR, CT scansHCQ, AZ, tocilizumab, mPDRL, IVIg, vasopressors, antibiotics, oxygen supportFever, fatigue, cough, dyspneaIncrease: Creatinine, ALT, AST, LDH, IL‐6, D‐dimer, ferritin Decrease: WBC, ANC, Hb, PLTNoneNR
Engelhardt, 50Germany2020 JulCohort2159M 17 F 4MMdaratumumab‐combination 5, elotuzumab‐combination 1, VCd/KRd 2/1, lenalidomide 3, none 9NRRT‐PCR.Antibiotics 17, AZ 4, HCQ 7, RDV 1, Tocilizumab 1, Anakinra 1, oxygen support 3Cough 17, fever 16, myalgia 4, GI symptoms 2NRNone 4, cardiac/ hypertension 11, renal impairment 3, obesity 1, PNP 4, diabetes 4, hypothyreosis 4Discharged 21
Rusconi 51ItalyJuly 2020Case report162Mclassical HLABVD2 yRT‐PCR, CT scansLevofloxacine, oxygen support, HCQ, LPV/r, enoxaparin, tocilizumab, CROFeverIncreased: Creatinine, fibrinogen, D‐dimer, CRP, LDH, ferritin Decreased: LymphocyteHypertension, melanoma, papillary renal cell cancerDischarged
Denis 52FranceJul 2020Case report172FMantle cell lymphomaR‐CHOPNRRT‐PCR, CT scansKaletra, CROConfusionNRNRNR
Moore 53USOct 2020Case report163Fnon‐HLobinutuzumabNRRT‐PCRPlasmaFever, myalgia, coughIncreased: CRP, LDH Decreased: WBC, lymphocyteNRDischarged
Vardanyan 54UKJul 2020Case report161FCLLNRNRRT‐PCR, CT scansOxygen support, amoxicillin‐clavulanic acid, TZP, clarithromycin, tocilizumabFever, dyspnea, cough, fatigueIncreased: D‐dimer, ferritin Decreased: Hb, WBC, lymphocyteNRNR
Abdalhadi 55QatarMay 2020Case report165MCMLDasatinib4 yRT‐PCR, CT scansHCQ, AZ, OTV, TZP, oxygen support, LPV/r, tocilizumab, mPDRLFever, cough, chest painIncreased: D‐dimer, CRP, LDH Decreased: ANC, Hb, PLTNRDischarged
Giammarco 56ItalyDec 2020Case report150MAMLall‐trans PREDNRRT‐PCR, CT scansNRFever, ostealgiaIncreased: LDH, creatine kinase, D‐dimer Decreased: ANC, PLTNoneDeath
Li 57ChinaDec 2020Case report161MMMbortezomib, DEX0 yRT‐PCR, CT scansCeftazidime, oxygen support, IVIg, meropenem, teicoplanin, Ganciclovir, IFN, ARB, OTV, moxifloxacinFever, cough, chest pain, dyspneaIncreased: CRP, D‐dimer Decreased: Hb, lymphocyteNRDischarged
Marcia 58ItalyJul 2020Case report13MALLPRED, vincristine‐daunorubicinNRRT‐PCR, CT scansAntibiotics, LPV/r, HCQFever, epistaxis, weight loss, bruises, hepatosplenomegalyIncreased: WBC Decreased: Hb, PLTNRDischarged
Kamit 59TurkeyNov 2020Case report19FALLintrathecal‐IV methotrexate, vincristine, cyclophosphamide, cytosine arabinoside, L‐asparaginase, DEX0.5 yRT‐PCR, CT scansvancomycin, meropenem, trimethoprim–sulfamethoxazole, ganciclovir, oxygen support, IVIg, Favipiravir, hydrocortisone, tocilizumab, plasmaFever, coughDecrease: WBC, lymphocyte, ANCAngelman syndromeDeath
Otsuka 60JapanNov 2020Case report156MMantle cell lymphomarituximab/cyclophosphamide/vincristine sulfate/doxorubicin, hydrochloride/DEX/methotrexate/cytarabine, bendamustine/rituximab2 yRT‐PCR, CT scansFavipiravir, antibiotic, cefepime, oxygen support, HCQ, VAN, TZP, IVIg, ciclesonide, meropenem, teicoplaninFeverIncreased: AST, ALT, Decreased: WBC, lymphocyte, Hb, PLTNRDeath
Bellesso 61BrazilMar 2021Case report176FMMBortezomib, DEX, radiotherapy, daratumumab1.5 yRT‐PCRCRO, VAN, oxygen support, vasoactive drug, meropenemConfusion, hip pain, respiratory distressNRESRD, hypertension, glucose intoleranceDeath
Glenthøj 62DenmarkSep 2020Cohort6666.7M 40 F 26MM 11, CLL 31, AML 8rituximab 14, daratumumab 4, purine analogues 7, ibrutinib 3, non‐cancer immunosuppressive treatment 5NRRT‐PCR, CT scansOxygen support 42Fever 53, Cough 50, Dyspnea 22, Headache 11, Myalgia 6, Diarrhea 3Decreased: lymphocyte 27, ANC 4Obesity 8, smokers 3, heart disease 3, lung disease 9, diabetes 9, renal disease 7, liver disease 1Discharged 50 Death 16
Wang 63USJuly2020Cohort5867M 30 F 28MM 54, smoldering MM 4daratumumab 28, immunomodulatory drugs 32, proteasome inhibitor 22, venetoclax 5, corticosteroids 302 y (29.8 months)RT‐PCRoxygen support 10, RDV 1, HCQ 17, AZ 17, antibiotics 19, corticosteroid 10, plasma 1, selinexor 5, anti‐IL‐6 4, anti‐IL‐1 2, anti TNF 1Fever 40, Cough 37, dyspnea 26Decreased: WBC 20, ANC 15, lymphocyte 7Hypertension 37, Hyperlipidemia 36, Obesity 21, Diabetes 16, chronic kidney disease 14, lung disease 12, current or former smoker 21, CAD and/or CVD 13, heart failure 744 Discharged Death 14
Sánchez‐Jara 64MexicoMar2021Original article157.5M 8 F 7ALL 12, AML 3ChemotherapyNRRT‐PCR, CT scansOxygen therapy 13Fever 13, rhinorrhea 2, cough 9, headache 4, respiratory distress 8, seizures 1, irritability 4, sore throat 2, diarrhea 2, drowsiness 2Increased: CRP 13 Decreased: ANC 13, RBC 13, WBC 13, lymphocyte 14, PLT 13NRDischarged 8 Death 7
Garcia‐Suarez 65SpainOct 2020Observational study69772NRnon‐HL 187, MM 136, CLL 109, HL 32, ALL 13, myelodysplastic syndrome 78, AML 61, CML 16, Ph‐negative myeloproliferative neoplasms 63Chemotherapy 169, molecular targeted therapies 81, immunomodulatory drugs 45, monoclonal antibodies 44, Hypomethylating agents 33, none 286NRRT‐PCRHCQ 558, AZ 276, antiretrovirals 337, IFN 50, corticosteroid 318, tocilizumab 132NRNRHypertension 277, cardiac disease 138, diabetes 121, renal disease 77, pulmonary disease 90Discharged 467 Death 230
Martinez‐Lopez 66SpainOct 2020Case series16771M 95 F 72MM 167Proteasome inhibitor 138, immunomodulatory drug 119, monoclonal antibody 38>18 m 112, <18 m 55RT‐PCRHCQ 148, AZ 91, antiretrovirals 103, steroids 83, Anti‐interleukin‐6 receptor antibody therapy 22, heparin 109, oxygen support 128NRNRNone 41, cardiac disease 35, pulmonary disease 23, diabetes 28, renal disease 32, hypertension 67Discharged 111 Death 56
Regalado‐Artamendi 67SpainFeb 2021Original article17770M 99 F 78HL 19, follicular lymphoma 62, DLBCL 39, other aggressive lymphomas 27, other indolent lymphomas 30CD20‐chemotherapy 58, CD20‐bendamustine 20, Chemotherapy 33, Molecular targets 3, Immunotherapy 38NRRT‐PCRLPV/r 89, HCQ 156, IFN 13, AZ 79, RDV 9, plasma 7, tocilizumab 51, anakinra 11, mPDRL 65, DEX 20, oxygen support 125Fever 134, cough 115, dyspnea 87, myalgia 45, diarrhea 36, chest pain 25, rhinorrhea 15, anosmia 14, sore throat 7NRHeart disease 34 Hypertension 73 Diabetes 33, Obesity 14, Dyslipidemia 27, Chronic pulmonary disease 23, Asthma 9, Chronic kidney disease 11, Chronic liver disease 4Discharged 116 Death 61
Yigenoglu 17TurkeyAug2020Cohort74056M 397 F 343HL 27, CLL 54, MM 77, ALL 18, myeloproliferative neoplasm 116, CML 30, non‐HL 223, Myelodysplastic syndrome 146, AML 40, hairy cell leukemia 9NRNRRT‐PCRFavipiravir 189, OTV 309, LPV/r 35, HCQ 508NRNRHypertension 379, diabetes 198, cardiovascular disease 156, respiratory disease 175Discharged 701 Death 39
Piñana 68SpainAug 2020Observational study36764M 225 F 142Non‐HL 91, AML 67, ALL 25, Myelodysplastic syndrome 22, chronic myeloproliferative disease 29, CLL 4NRNRRT‐PCRAZ 156, HCQ 147, LPV/r 163, RDV 8, corticosteroid 10, tocilizumab 50, anakinra 18, baricitinib 7None 30, fever 259, rhinorrhea 54, pharyngitis 27, fatigue 196, myalgia 73, cough 244, diarrhea 81, vomiting 37Increased: CRP 200, D‐dimer 172, ferritin 119 Decreased: ANC 48, lymphocyte 140Smoking 33, hypertension 142, cardiomyopathy 65, dyslipidemia 94, diabetes 86Discharged 262 Death 105
de la Cruz‐Benito 69SpainAugust 2020Cohort152FDLBCLR‐CHOPNRRT‐PCRNRNRDecreased: LymphocyteDyslipidemiaNR
Başcı 70TurkeyJuly2020Original article1651M 6 F 10CML 16Imatinib 9, Nilotinib 3, Dasatinib 4NRRT‐PCRFavipiravir 4, OTV 9, LPV/r 1, HCQ 13NRNRNone 5, COPD 4, diabetes 3, hypertension 7, CAD 5, chronic renal disease 2, CVD 1NR
Naseri 71IranOct 2020Case report142FAMLIdarubicin, cytarabinenewRT‐PCR, CT scansOxygen support, linezolid, meropenem, LPV/r, IFNFever, dyspnea, myalgiaIncreased: CRP, ferritin, LDH, D‐dimer Decreased: WBC, Hb, PLT, ANC, lymphocyteDiabetesDeath
Song 72ChinaDec 2019Case report178FCLLNone5 yRT‐PCR, CT scansOTV, cefoperazone, sulbactam, linezolid, mPDRL, oxygen supportFatigue, malaise, hyporexiaIncreased: WBC, lymphocyte, CRP Decreased: HbHypertension, cardiovascular disease, COPDDeath
Li 73ChinaMay 2020Case report126MB‐cell lymphomaDA‐EPOCH‐RNRRT‐PCR, CT scansMeropenem, linezolid, AZ, ganciclovir, OTV, ARBFeverDecreased: ANC, lymphocyteNoneDischarged
Baldacini 74FranceMay 2020Case report162FAMLNRless than 1 yRT‐PCR, CT scansNRAsthenia, dyspnea, epistaxisIncreased: WBC, CRP, D‐dimer Decreased: Hb, PLT, ANCNRDeath
Farmer 75UKJun 2020Case report136MAMLArsenic trioxideless than 1 yRT‐PCRNRFever, cough, sweatsIncreased: D‐dimer, ferritin, creatinine, LDH, CRP Decreased: WBC, Hb, ANC, lymphocyte, PLTNRNR
Puyo 76SpainJan 2020Case report120 monthsMALLChemotherapy2 monthsRT‐PCRTZP, amikacin, oxygen support, HCQ, AZ, VAN, tocilizumabFeverDecreased: ANCNRDischarged
Malek 77USJul 2020Case report141FCLLNRNRRT‐PCR, CT scansCefepime, linezolid, DOX, mPDRL, oxygen supportFever, nausea, vomiting, diarrhea, cough, dyspnea, myalgiaIncreased: WBC, Lymphocyte, ALT, AST, CRP, D‐dimer, LDH, ferritinObesityDischarged
Schied 78USSep 2020Case report16FB lymphoblastic lymphomaChemotherapyNRRT‐PCRSupportive careNoneIncreased: FerritinNRDischarged
Pandrowala 79USMar 2021Case report15FAMLDaunorubicin, cytarabine, fludarabine, idarubicin, ventoclax, 5‐azacytidineNRRT‐PCROxygen support, mPDRL, meropenem, amikacinFeverIncreased: WBC, CRP Decreased: Hb, ANC, PLTNRDischarged
Rathore 80IndiaJun 2020Case report110MALLChemotherapy3 monthsRT‐PCRDEXCoughNRNRDischarged
Zhang 81ChinaApr 2020Case report160MMMBortezomib, thalidomide, DEX5 yRT‐PCR, CT scansMoxifloxacin, ARB, oxygen supportChest tightness, dyspneaIncreased: CRP Decreased: LymphocyteNRDischarged
Ghandili 32GermanyDec 2020Case series1260M 9 F 3AML 8, ALL 3, lymphoblastic lymphoma 1NRNRRT‐PCROxygen support 5, LPV/r 1, pentaglobin 2, plasma 1, tocilizumab 1, None 5None 4Decreased: ANC 12, lymphocyte 12Hypothyroidism 1, Asthma 1, allergic rhinitis 1, smoker 1Discharged 10 Death 2
Kos 82GermanySep 2020Case report172MMarginal zone lymphomaBendamustine, rituximabNRRT‐PCRAmpicillin, sulbactam, meropenem, clarithromycin, IVIgFever, coughIncreased: CRP, LDH Decreased: HbNoneDischarged
Nunez Torron 83SpainJun 2020Cohort454.5M 3 F 1AML 4ChemotherapynewRT‐PCR, CT scansHCQ 4, LPV/r 3, AZ 1, corticosteroids 3, tocilizumab 2, oxygen support 4Fever 4, cough 1, asthenia 1Increased: WBC 1 Decreased: Hb 1, PLT 1None 4Discharged 1 Death 3

Demographic, clinical and laboratory findings

The demographic information, clinical features, and laboratory findings in COVID‐19 patients with hematological malignancies are shown in Tables 2 and 3 . The results of laboratory data showed that ALT, AST, CRP, and LDH tests have increased in COVID‐19 patients with hematological malignancies. However, hemoglobin level, platelet count, lymphocyte count, and RBC decreased in these patients. The majority of patients were male (56.73%). Fever (74.24%), cough (67.64%), and fatigue (53.19%) were the most common clinical manifestations among the included patients.

TABLE 2
Summary of the findings in COVID‐19 patients with hematological malignancies
Abbreviations: ABVD, adriamycin, bleomycin, vinblastine, dacarbazine; AIHA, autoimmune hemolytic anemia; ALL, acute lymphoblastic leukemia; ALT, alanine aminotransferase; AML, acute myeloid leukemia; AMN, acute macular neuroretinopathy; ANC, absolute neutrophil count; ARB, arbidol; AST, aspartate aminotransferase; AZ, azithromycin; BEACOPP, bleomycin, etoposide, adriamycin, cyclophosphamide, vincristine, procarbazine, prednisolone; CHOP, cyclophosphamide, doxorubicin hydrochloride (hydroxydaunorubicin), vincristine sulfate (oncovin), and prednisone; CLL, Chronic lymphocytic leukemia; CML, chronic myelogenous leukemia; CRO, ceftriaxone; CRP, C‐reactive protein; CXR, chest X‐ray; DLBCL, diffuse large B‐cell lymphoma; DOX, doxycycline; EBV, Epstein‐Barr virus; HB, hemoglobin; HCQ, hydroxychloroquine; HGBL, high grade B‐cell lymphoma; HL, Hodgkin lymphoma; IBR, ibrutinib; ICE, ifosfamide, carboplatin, etoposide; IFN, interferon; IFRT, involved field radiotherapy; IV, intravenous; Ig, immunoglobulin; LDH, lactate dehydrogenase; LPV, lopinavir; LPV/r, lopinavir/ritonavir; MM, multiple myeloma; mPDRL, methylprednisolone; NR, not reported; OTV, oseltamivir; PLT, platelet; PRED, prednisone; RTV, ritonavir; RDV, remdesivir; TZP, piperacillin/tazobactam; VAN, vancomycin; VCd/KRd:bortezomib‐cyclophos‐phamid‐dexamethasone/carfilzomib‐lenalidomide‐dexamethasone.

n / n (%)No. of studies that mentioned
Gender
Male962/1698 (56.65%)53
Female736/1698 (43.35%)
Treatment of blood cancer
Proteasome inhibitor160/521 (30.71%)5
Chemotherapy209/891 (23.46%)11
Immunotherapy239/1175 (20.34%)7
Monoclonal antibodies140/1051 (13.32%)6
Daratumumab44/442 (9.95%)7
Molecular targeted therapy84/884 (9.50%)2
Corticosteroids47/371 (12.66%)13
Rituximab19/370 (5.14%)10
Bendamustine23/478 (4.81%)7
Hypomethylating agents33/707 (4.67%)3
Imatinib10/313 (3.19%)5
Lenalidomide7/319 (2.19%)5
Purine analogues7/362 (1.93%)4
Bortezomib6/311 (1.92%)9
Ventoclax7/364 (1.91%)6
Vincristine5/301 (1.66%)6
Cytarabine5/302 (1.65%)7
Daunorubicin5/302 (1.65%)7
Dasatinib5/313 (1.60%)2
Cyclophosphamide4/301 (1.33%)8
Nilutinib3/312 (0.96%)4
Ibrutinib3/362 (0.82%)4
ABVD2/298 (0.67%)5
Idarubicin2/298 (0.34%)5
L‐asparginase2/298 (0.67%)5
Methotrexate2/298 (0.67%)5
Pembrolizumab2/298 (0.67%)5
Radiotherapy2/298 (0.67%)5
R‐CHOP2/298 (0.67%)5
Thalidomide2/298 (0.67%)5
Gemtuzumab ozogamicin2/299 (0.66%)4
Carfilzomib2/306 (0.65%)5
VCd2/308 (0.64%)4
5‐Azacytidine1/297 (0.34%)4
Arsenic trioxide1/297 (0.34%)4
BEACOPP1/297 (0.34%)4
Brentuximab1/297 (0.34%)4
Cytosine arabinose1/297 (0.34%)4
DA‐EPOCH1/297 (0.34%)4
Doxorubicin1/297 (0.34%)4
Hydrochloride1/297 (0.34%)4
Fludarabine1/297 (0.34%)4
ICE1/297 (0.34%)4
IFRT1/297 (0.34%)4
Melphalan1/297 (0.34%)4
mPDRL1/297 (0.34%)4
Obinutuzumab1/297 (0.34%)4
Panobinostat1/297 (0.34%)4
Vedotin1/297 (0.34%)4
Blinatumomab1/299 (0.33%)4
Elotuzumab1/308 (0.32%)4
KRd1/308 (0.32%)4
COVID‐19 treatment & ancillary medications
Hydroxychloroquine (HCQ)1571/2267 (69.30%)23
Oxygen support365/559 (65.30%)36
Anticoagulant therapy112/175 (64%)5
Meropenem8/13 (61.54%)9
IV immunoglobulin (IVIg)8/14 (57.14%)8
Antiretrovirals440/869 (50.63%)2
Ceftriaxone (CRO)5/10 (50%)6
Piperacillin/tazobactam (TZP)5/10 (50%)6
Antibiotics44/94 (46.81%)8
Arbidol (ARB)4/9 (44.44%)5
Linezolid4/9 (44.44%)5
Vancomycin (VAN)4/9 (44.44%)5
Corticosteroid therapy429/1009 (42.52%)10
Oseltamivir (OTV)323/766 (42.17%)8
Azithromycin (AZ)633/1502 (42.14%)16
Methylprednisolone (mPDRL)73/190 (38.42%)11
Amoxicillin/clavulanate3/8 (37.50%)4
Doxycycline (DOX)3/8 (37.50%)4
Ganciclovir3/8 (37.50%)4
Vasoactive drugs (including vasopressor)3/8 (37.50%)4
Supportive therapy3/10 (30%)4
Amikacin2/7 (28.57%)3
Cefepime2/7 (28.57%)3
Clarithromycin2/7 (28.57%)3
Levofloxacin2/7 (28.57%)3
Moxifloxacin2/7 (28.57%)3
Paracetamol2/7 (28.57%)3
Sulbactam2/7 (28.57%)3
Teicoplanin2/7 (28.57%)3
Favipiravir198/830 (23.85%)7
Lopinavir/ritonavir (LPV/r)300/1324 (22.66%)14
Tocilizumab245/1286 (19.05%)13
Ampicillin1/6 (16.67%)2
Cefoperazone1/6 (16.67%)2
Ceftazidime1/6 (16.67%)2
Ciclesonide1/6 (16.67%)2
Darunavir‐cobicistat1/6 (16.67%)2
Kaletra1/6 (16.67%)2
Pentaglobin2/12 (16.67%)1
RBC transfusion1/6 (16.67%)2
Ribavirin1/6 (16.67%)2
Trimethoprim–sulfamethoxazole1/6 (16.67%)2
Anti‐IL‐626/240(10.83%)3
Selinexor5/63 (7.93%)2
Interferon (IFN)67/883 (7.59%)6
Anakinra33/573 (5.76%)5
Plasma11/249 (4.42%)5
Anti‐IL‐22/63 (3.17%)2
Remdesivir (RDV)19/628 (3.03%)4
Baricitinib7/372 (1.88%)2
Anti TNF1/63 (1.59%)2
Clinical manifestations
Fever562/757 (74.24%)38
Cough508/751 (67.64%)30
Fatigue200/376 (53.19%)7
Dyspnea155/366 (42.34%)23
Myalgia131/639 (20.50%)7
Respiratory distress9/51 (17.65%)5
Diarrhea48/309 (15.53%)10
Chest pain or tightness28/215 (13.02%)7
Headache15/116 (12.93%)5
Rhinorrhea72/567 (12.70%)6
Vomiting38/373 (10.19%)4
Asthenia4/43 (9.30%)6
Irritability4/50 (8%)4
Pharyngitis27/372 (7.26%)3
Ageusia3/44 (6.82%)4
Arthralgia3/44 (6.82%)4
Anosmia14/212 (6.60%)4
Confusion2/37 (5.41%)5
Epistaxis2/37 (5.41%)5
Hypoxia2/37 (5.41%)4
Malaise2/37 (5.41%)5
Nausea2/37 (5.41%)5
Rash2/37 (5.41%)4
Sore throat12/232 (5.17%)8
Anorexia or Hyporexia2/39 (5.13%)5
Drowsiness2/50 (4%)4
Gastrointestinal symptoms2/56 (3.57%)4
Body aches1/36 (2.78%)4
Bruises1/36 (2.78%)4
Chills1/36 (2.78%)4
Dysphagia1/36 (2.78%)4
Hypoxemia1/36 (2.78%)4
Orthopnea1/36 (2.76%)4
Ostealgia1/36 (2.78%)4
Rectal bleeding1/36 (2.78%)4
Rigors1/36 (2.78%)4
Sweats1/36 (2.78%)4
Weight loss1/36 (2.78%)4
Seizures1/50 (2%)4
Laboratory findings
Increased
ALT3/3 (100%)3
ANC2/2 (100%)2
AST3/3 (100%)3
bilirubin2/2 (100%)1
Creatine kinase1/1 (100%)1
Creatinine2/2 (100%)2
Fibrinogen2/2 (100%)2
IL‐63/3 (100%)2
IL‐81/1 (100%)1
LDH16/16 (100%)16
Lymphocyte7/7 (100%)7
Monocyte1/1 (100%)1
Reticulocyte1/1 (100%)1
Triglycerides3/3 (100%)1
WBC10/13 (76.92%)10
CRP242/417 (58.03%)26
D‐dimer189/384 (49.22%)17
Ferritin134/382 (35.08%)13
Decreased
Albumin1/1 (100%)1
Uric acid1/1 (100%)1
Hb29/32 (90.62%)21
PLT31/36 (86.11%)17
RBC15/18 (83.33%)2
WBC50/97 (51.55%)14
Lymphocyte218/538 (40.52%)20
ANC105/538 (19.52%)17

TABLE 3
The main findings in COVID‐19 patients with hematological malignancies categorized based on the type of malignancy
Abbreviations: ALL, acute lymphoblastic leukemia; AML, acute myeloid leukemia; CLL, Chronic lymphocytic leukemia; CML, chronic myelogenous leukemia; CRP, C‐reactive protein; HCQ, hydroxychloroquine; HL, Hodgkin lymphoma; LDH, lactate dehydrogenase; LPV/r, lopinavir/ritonavir; MM, multiple myeloma; PLT, platelet.

Total (%)ALLAMLCLLCMLHLNHLMMMDSMPN
Patients239577 (4.19)200 (9.16)214 (13.60)64 (4.40)80 (4.95)614 (30.01)486 (27.55)246 (13.63)208 (11.53)
Treatment of blood cancer
Chemotherapy209 (23.46)20 (76.92)28 (41.27)4 (2.15)2 (12.5)21 (41.17)83 (34.15)33 (24.26)2 (2.56)31 (49.21)
Immunotherapy239 (20.34)––––7 (36.84)20 (13.69)196 (54.29)––
Monoclonal antibodies140 (13.32)––1 (0.54)––25 (13.37)52 (17.17)––
Molecular targeted therapy84 (9.50)–3 (4.91)28 (15.05)14 (87.5)–8 (3.32)12 (8.82)‐18 (28.57)
Hypomethylating agent33 (4.67)–17 (27.87)–––1 (0.53)–15 (19.23)–
COVID‐19 treatment
Oxygen support365 (65.30)2 (100)17 (73.92)27 (69.23)2 (100)2 (100)5 (100)157 (57.72)––
HCQ1571 (69.30)2 (100)5 (41.67)3 (100)15 (83.33)2 (100)2 (100)173 (70.04)––
Antibiotics44 (46.81)2 (100)2 (22.22)1 (100)–1 (100)1 (100)36 (45.57)––
Corticosteroids429 (42.52)1 (100)3 (75)1 (100)–1 (100)1 (100)93 (41.33)––
LPV/r300 (22.66)2 (50)4 (33.33)2 (100)3 (16.67)2 (100)––––
Clinical manifestations
Fever562 (74.24)15 (71.42)20 (90.91)33 (82.5)2 (100)2 (100)6 (84.71)78 (75.73)––
Cough508 (67.64)11 (50)12 (5.89)32 (82.05)2 (100)1 (100)5 (83.34)73 (70.87)––
Dyspnea155 (42.34)1 (6.25)4 (36.36)19 (48.71)––4 (80)33 (41.25)––
Diarrhea48 (15.53)1 (6.25)3 (60)5 (15.15)–––3 (33.33)––
Respiratory distress9 (17.65)6 (37.5)1 (33.33)––––1 (100)––
Laboratory findings ‐ increase
LDH16 (100)1 (100)2 (100)3 (100)2 (100)2 (100)4 (100)–––
CRP242 (58.03)1 (100)4 (100)5 (100)1 (100)2 (100)5 (100)9 (69.23)––
D‐dimer189 (49.22)‐3 (100)4 (100)2 (100)1 (100)2 (100)3 (100)––
Ferritin134 (35.08)1 (100)4 (100)4 (100)1 (100)1 (100)1 (100)2 (100)––
Laboratory findings – decrease
Hb29 (90.62)2 (100)5 (62.5)5 (100)1 (100)‐5 (100)10 (100)––
PLT31 (86.11)3 (100)7 (70)2 (100)1 (100)1 (100)3 (100)–––
WBC50 (51.55)2 (100)3 (75)4 (100)––4 (100)23 (34.33)––
Lymphocyte218 (40.52)1 (100)2 (100)3 (100)–2 (100)6 (100)14 (19.72)––
Gender
Male962 (56.65)20 (58.82)21 (65.62)24 (60)8 (44.44)13 (61.90)61 (53.98)158 (58.09)51 (65.38)43 (68.25)
Female736 (43.35)14 (41.18)11 (34.38)1610 (55.56)8 (38.01)52 (46.02)114 (41.91)27 (34.62)20 (31.75)

Treatments for COVID‐19 and hematological malignancies

The treatment options for COVID‐19 patients with hematological malignancies are summarized in Tables 2 and 3 . Hydroxychloroquine (69.3%), oxygen therapy (65.3%), and anticoagulant therapies (64.0%) such as enoxaparin and heparin were the most administrated treatments options for COVID‐19. On the contrary, proteasome inhibitors (30.71%) and chemotherapy (23.46%) were the most used therapeutics to cure different types of blood cancer among patients with hematological malignancies.

Comorbidities and mortality rate

Figure 2 shows a forest plot for the mortality rate in COVID‐19 patients with hematological malignancies. Based on a random‐effects model, the pooled estimate of death and discharge percent were 21.34% (95% CI: 11.24 to 33.11) and 77.60% (95% CI: 65.60 to 87.96), respectively. It means that more than three‐quarters of cases with COVID‐19 and hematological malignancy were survived during hospitalization. In addition, Figure 3 shows the prevalence of comorbidities among patients with hematological malignancies and SARS‐CoV‐2 infection. The most prevalent comorbidity was hypertension (44.61%; 95% CI: 39.94 to 49.28), and the less one was liver disease (1.96%; 95% CI: 0.05 to 3.88). The prevalence of other comorbidities is shown also in Figure 2 . We were interested in assessing the effect of age on the death rate in patients with COVID‐19 and malignancy (Figure 4 ). The meta‐regression demonstrated no significant association between death rate with age ( p = 0.513).

FIGURE 2 Forest plot for the death and discharge percent in patients with COVID‐19 and malignancy based on a random‐effects model. Each study identifies by the first author (year)…
FIGURE 2 Forest plot for the death and discharge percent in patients with COVID‐19 and malignancy based on a random‐effects model. Each study identifies by the first author (year) and country. Each line segment's midpoint shows the percent estimate, length of line segment indicates 95% CI in each study, and diamond mark illustrates the pooled estimate in each subgroup
FIGURE 3 Pooled prevalence with 95% CI and heterogeneity indices of different comorbidity percent in patients with COVID‐19 and malignancy. The diamond mark illustrates the pooled…
FIGURE 3 Pooled prevalence with 95% CI and heterogeneity indices of different comorbidity percent in patients with COVID‐19 and malignancy. The diamond mark illustrates the pooled percent, and the length of the diamond indicates the 95% CI. N is the number of the study in the analysis
FIGURE 4 Association among death rate and Median of age by means of meta‐regression. The size of circles indicates the precision of each study. There is no significant association…
FIGURE 4 Association among death rate and Median of age by means of meta‐regression. The size of circles indicates the precision of each study. There is no significant association with respect to the death rate with Median of age

Risk of bias assessment

The results of the critical appraisal (JBI checklist) of included studies are summarized in Table S1 . Overall, 53 articles were identified as having a low risk of bias (quality assessment score > 7).

DISCUSSION

Since the onset of the COVID‐19 outbreak, several studies have reported the effects of COVID‐19 on cancer patients. In this regard, there is growing evidence that patients with a history of cancer have a higher rate of COVID‐19 mortality than individuals without cancer. In addition, it has been reported that patients with hematological cancers had the highest frequency of major adverse events. 5 , 12

Yeo et al. indicated that the cancer was associated with a 2.84‐fold increased risk of severe illness in COVID‐19 patients and a 2.60‐fold increased risk of death. 13 The prevalence of cancer in COVID‐19 patients is very low. In a recent study, the pooled prevalence of cancer in COVID‐19 patients was 2%. 14 , 15

Also, the results of the same studies from China and the United States of America reported that about 1–2% and 6% of COVID‐19 patients had cancer, respectively. 14 , 16

The prevalence of hematological malignancies among COVID‐19 patients has not yet been well studied. In a related study conducted by Yigenoglu et al. in Turkey, it has been reported that 0.39% of the COVID‐19 patients had hematological malignancy. The most common hematological malignancies were non‐Hodgkin lymphoma (30.1%) followed by myelodysplastic syndromes (19.7%). They reported that about 5.27% of the patients have died. 17

In the other study conducted by Mehta et al. 18 in New York, the mortality rate in lymphoid neoplasms was higher than the myeloid malignancies (35% vs. 43%). Our results estimated that the mortality rate in COVID‐19 patients with hematological malignancies was 21.34%. This discrepancy observed in the results of these studies can be due to different sizes of studies. Therefore, the results of studies conducted in all areas highlight the urgent need to pay special attention to patients with hematologic malignancy infected with COVID‐19.

The progression of blood malignancies is usually accompanied by a weakening of the immune system, which is initiated by the disease and continues through the strategy of anti‐tumor therapies such as chemotherapy and radiation therapy Therefore, the suppressed immune system may lead to a greater vulnerability of cancer patients to COVID‐19.

A previous study showed that anti‐tumor therapy increased the risk of dangerous symptoms within 14 days of the diagnosis of COVID‐19 and recommended that cancer patients with COVID‐19 avoid treatments that suppress the immune system. 19

On the hand, cytotoxic chemotherapies cause neutropenia and lymphocytopenia that aggravate the immunosuppressive status. This status leads to high infection rates and poor prognosis. 20 , 21 , 22

There is currently no advice on the effectiveness of conventional and targeted treatment strategies in these patients. 23

Hence, the risk–benefit ratio of these treatment strategies remains a challenge. In this regard, it has been demonstrated that radiation therapy has no higher risk of severe events related to the COVID‐19 for these patients. 5

For example, Krengli et al. 24 reported that radiation therapy could be considered a treatment strategy in COVID‐19 patients affected by myeloma. Recently, Liu et al. 25 demonstrated that patients with hematological malignancies were at a higher risk of death if they received chemotherapy 3 months before the COVID‐19 diagnosis.

It is recommended that the cancer treatment strategies be postponed until the radiological and clinical symptoms of COVID‐19 have been completely disappeared. 26 , 27 These clinical symptoms were previously mostly treated by hydroxychloroquine. However, recently, WHO recommended healthcare systems cease the use of this drug. 28 , 29

The most common complications of COVID‐19 are fever, dyspnea, cough, muscle ache, confusion, headache, pneumonia, acute respiratory distress, and acute respiratory failure. 30

The findings of the present study show that the highest incidence of clinical manifestations in patients with hematologic malignancy infected with SARS‐CoV‐2 belonged to fever (74.24%), cough (67.64%), fatigue (53.19%), dyspnea (42.47%), myalgia (20.50%), and the respiratory distress (17.65%). These results are consistent with those of other studies and confirm that pulmonary symptoms are the main clinical manifestations of COVID‐19 in more than half of the patients treated for the hematologic malignancies. 31

Our results demonstrated that the most common comorbidities in patients with COVID‐19 and hematological malignancies were hypertension (44.61%) and dyslipidemia (32.13%). In addition, it revealed that the patients who died had more comorbidities. Also, it has been shown that the mortality rate of these patients is related to the disease status, the status of the immune system, and the level of inflammation.

The elevated levels of C‐reactive proteins were observed in 58.03% of patients with hematologic malignancy infected with SARS‐CoV‐2. Also, other laboratory findings such as the increased d‐dimer levels (49.22%), neutropenia (19.52%), and the increase in bilirubin levels were seen in these patients. It seems that laboratory findings on admission can help predict the severity of COVID‐19 in patients with hematologic malignancy. Furthermore, it has been demonstrated that the monitoring of RNA load in plasma can be useful to anticipate the COVID‐19 outcomes in these patients. Ghandili et al. 32 reported that the increasing RNA titer is associated with the fatal outcomes in patients with acute myeloid leukemia infected SARS‐CoV‐2.

There are several limitations to this study. First, as our search was restricted to articles published in English, we might have missed some relevant publications in other languages. Second, only case series and research articles were enrolled in the meta‐analysis. Therefore, the existence of publication bias should be considered. Third, this study included patients whose RT‐PCR tests were positive for SARS‐CoV‐2. However, it is confirmed that false‐negative and false‐positive RT‐PCR may occur due to low amounts of SARS‐CoV‐2 concentrations and cross‐reaction with something that’s not SARS‐CoV‐2, respectively. Forth, heterogeneity in the study population selection and the retrospective characteristics was observed in the studies. Although the random‐effects model was assumed to reflect the similarity, there may still be differences of opinion. Fifth, all included studies have reported hospitalized patients. Due to these cases usually having a severe or moderate stage of disease, mild cases may be missed.

CONCLUSIONS

In this study, we reviewed the literatures reporting the COVID‐19 outcomes in patients with hematological malignancies. Our study reveals that about one‐quarter of patients with COVID‐19 and hematological malignancy have died during hospitalization. One of the most important reasons that confirm these patients are more vulnerable is their immune system dysfunction. Furthermore, anti‐cancer therapies may worsen their conditions. Therefore, the management of COVID‐19 in patients with hematological malignancies requires much more attention.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

AUTHOR CONTRIBUTIONS

Adel Naimi, Ilya Yashmi, Reza Jebeleh, Mohammad Imani Mofrad, Shakiba Azimian Abhar, Yasaman Jannesar, and Mohsen Heidary contributed in revising and final approval of the version to be published. All authors agreed and confirmed the study for publication.

Supporting information

Table S1

Click here for additional data file.

DATA AVAILABILITY STATEMENT

The authors confirm that the data supporting the results of this study is available within the article.

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ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты