Evidence map›Paper›PMID 36795239›Full record

SynthesisClinical and experimental medicine2023

Mortality of COVID-19 in patients with hematological malignancies versus solid tumors: a systematic literature review and meta-analysis.

Nicole Hardy, Charan Thej Reddy Vegivinti, Mansi Mehta, Jade Thurnham, Alexander Mebane, John M Pederson, Ranita Tarchand, Jeevan Shivakumar, Peace Olaniran, Ritika Gadodia and 9 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Cancer and COVID-19: A review of immune insights and partnerships to inform public health strategy.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026
    Review
  4. Article
  5. Serious illness conversations and quality of end-of-life care in patients with hematological malignancies-a retrospective quality improvement study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  6. Article
  7. Article
  8. Remdesivir-Associated Survival Outcomes Among Immunocompromised Patients Hospitalized for COVID-19: Real-world Evidence From the Omicron-Dominant Era.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Nicole Hardy *Nested Knowledge, Inc, St Paul, MN, USA.
Charan Thej Reddy Vegivinti *Department Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, New York, USA.
Mansi MehtaKasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Jade ThurnhamNested Knowledge, Inc, St Paul, MN, USA.
Alexander MebaneSuperior Medical Experts, St. Paul, MN, USA.
John M PedersonNested Knowledge, Inc, St Paul, MN, USA.
Ranita TarchandNested Knowledge, Inc, St Paul, MN, USA.
Jeevan ShivakumarDepartment of Internal Medicine, Montefiore Medical Center, Bronx, NY, USA.
Peace OlaniranNested Knowledge, Inc, St Paul, MN, USA.
Ritika GadodiaMedstar Washington Hospital Center/Georgetown University, Washington, DC, USA.
Arup GangulyUniversity of Texas Rio Grande Valley, Edinburg, TX, USA.
Yashaswini KelagereDepartment of Pediatrics, Saint Peter's University Hospital, New Brunswick, NJ, USA.
Rashmika Reddy NallaboluUAB School of Dentistry, Birmingham, AL, USA.
Mrunanjali GaddamThe Brooklyn Hospital Center, Brooklyn, NY, USA.
Praneeth R KeesariKamineni Academy of Medical Sciences and Research Centre, Hyderabad, Telangana, India.
Yashwitha Sai PulakurthiKamineni Academy of Medical Sciences and Research Centre, Hyderabad, Telangana, India.
Rohit ReddyDepartment of Medical Oncology, Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India.
Kevin KallmesNested Knowledge, Inc, St Paul, MN, USA.
Tejo N MusunuruDepartment of Hematology/Oncology, University of Texas Medical Branch, Galveston, TX, USA. Tnmusunuru@mdanderson.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer patients are more vulnerable to COVID-19 compared to the general population, but it remains unclear which types of cancer have the highest risk of COVID-19-related mortality. This study examines mortality rates for those with hematological malignancies (Hem) versus solid tumors (Tumor). PubMed and Embase were systematically searched for relevant articles using Nested Knowledge software (Nested Knowledge, St Paul, MN). Articles were eligible for inclusion if they reported mortality for Hem or Tumor patients with COVID-19. Articles were excluded if they were not published in English, non-clinical studies, had insufficient population/outcomes reporting, or were irrelevant. Baseline characteristics collected included age, sex, and comorbidities. Primary outcomes were all-cause and COVID-19-related in-hospital mortality. Secondary outcomes included rates of invasive mechanical ventilation (IMV) and intensive care unit (ICU) admission. Effect sizes from each study were computed as logarithmically transformed odds ratios (ORs) with random-effects, Mantel-Haenszel weighting. The between-study variance component of random-effects models was computed using restricted effects maximum likelihood estimation, and 95% confidence intervals (CIs) around pooled effect sizes were calculated using Hartung-Knapp adjustments. In total, 12,057 patients were included in the analysis, with 2,714 (22.5%) patients in the Hem group and 9,343 (77.5%) patients in the Tumor group. The overall unadjusted odds of all-cause mortality were 1.64 times higher in the Hem group compared to the Tumor group (95% CI: 1.30-2.09). This finding was consistent with multivariable models presented in moderate- and high-quality cohort studies, suggestive of a causal effect of cancer type on in-hospital mortality. Additionally, the Hem group had increased odds of COVID-19-related mortality compared to the Tumor group (OR = 1.86 [95% CI: 1.38-2.49]). There was no significant difference in odds of IMV or ICU admission between cancer groups (OR = 1.13 [95% CI: 0.64-2.00] and OR = 1.59 [95% CI: 0.95-2.66], respectively). Cancer is a serious comorbidity associated with severe outcomes in COVID-19 patients, with especially alarming mortality rates in patients with hematological malignancies, which are typically higher compared to patients with solid tumors. A meta-analysis of individual patient data is needed to better assess the impact of specific cancer types on patient outcomes and to identify optimal treatment strategies.

Indexed as

COVID-19Hematologic NeoplasmsNeoplasmsHospitalizationHumansIntensive Care UnitsCancerCOVID-19LeukemiaLymphomaMortalityTumor

Identifiers

PMID36795239
PMCPMC9933827

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.