Evidence map›Paper›PMID 40698223›Full record

ArticleCureus2025

Factors Associated With Mortality in Leukemia and Lymphoma With COVID-19: A National Inpatient Sample Analysis (2020-2021).

Saketh Palasamudram Shekar, Barath Prashanth Sivasubramanian, Diviya Bharathi Ravikumar, Husna Qadeer, Ibthisam Ismail Sharieff, Rhea Prasad, Sindhu Chandra Pokhriyal, Amulya Bellamkonda, Mamtha Balla, Rutul Dalal

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Saketh Palasamudram ShekarInterventional Pulmonology, Pulmonary and Sleep Associates of Huntsville, Huntsville, USA.
Barath Prashanth SivasubramanianInternal Medicine, Northeast Georgia Medical Center, Gainesville, USA.
Diviya Bharathi RavikumarInternal Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Postgraduate Institute of Medical Science and Research, Chennai, IND.
Husna QadeerInternal Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Postgraduate Institute of Medical Science and Research, Chennai, IND.
Ibthisam Ismail SharieffInternal Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Postgraduate Institute of Medical Science and Research, Chennai, IND.
Rhea PrasadInternal Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Postgraduate Institute of Medical Science and Research, Chennai, IND.
Sindhu Chandra PokhriyalInternal Medicine, One Brooklyn Health, Interfaith Medical Center, Brooklyn, USA.
Amulya BellamkondaHematology and Oncology, Brookdale University Hospital Medical Center, Brooklyn, USA.
Mamtha BallaInternal Medicine, The University of Toledo, Toledo, USA.
Rutul DalalInfectious Diseases, Penn State Health Eastern Region, Penn State Health St. Joseph Medical Center, Reading, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Patients with hematological malignancies face a substantially increased mortality from COVID-19. Although the peak of the COVID-19 pandemic has passed, the virus remains common, and understanding its impact on vulnerable groups such as those with hematologic malignancies remains crucial. Limited research exists on mortality patterns in leukemia and lymphoma patients during the pandemic. Studying these outcomes provides important insights into how different waves of COVID-19 affected immunocompromised individuals and supports the development of strategies for prevention, patient care, and risk reduction, which are essential both for managing emerging variants and preventing future pandemics. We aimed to identify the mortality risk of COVID-19 in leukemia (LekCov-19) and lymphoma (LymCov-19) in the United States and the mortality trends between each quartile from 2020 to 2021. Methods We analyzed the National Inpatient Sample database (2020-2021) to include adults (≥18 years) having leukemia and lymphoma admitted for COVID-19. Descriptive analysis, propensity matching, and multivariate regression were performed, with the p-value at ≤0.05 considered statistically significant. The risk of mortality was compared between each outcome. Results Among 8,191 LekCov-19 patients, 1,200 (14.7%) experienced mortality, whereas 507 out of 2,578 LymCov-19 patients (19.7%) experienced mortality. Multivariate regression showed a two-fold increase in mortality among LekCOV-19 and LymCOV-19 (p < 0.001). In both cohorts, several organ dysfunctions, including pulmonary, renal, and cardiac dysfunctions, were associated with increased mortality (p ≤ 0.0001). Similarly, in both cohorts, signs of bone marrow dysfunction, such as pancytopenia and thrombocytopenia, showed increased odds of mortality (p < 0.01). Both cohorts exhibited varying mortality trends, peaking during October-December 2020, January-March, July-September, and October-December 2021 (p ≤ 0.01). Hematopoietic stem cell transplantation recipients had lower odds of mortality in both cohorts, but did not attain statistical significance (p > 0.05). Conclusion COVID-19 was associated with increased mortality in leukemia and lymphoma patients. Surges in COVID-19-related mortality were identified from October 2020 to March 2021, and these trends could be pivotal in forecasting future mortality risks in cancer patients. Clinicians should refine treatment regimens and prioritize advancing clinical trials to address the effects of COVID-19 and the multiple comorbidities associated with hematological malignancies.

Indexed as

covid-19hematological malignancyhsctimmunocompromisedleukemialymphomamortalitytrends

Identifiers

PMID40698223
PMCPMC12282551

What Socratic holds

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Registered trials

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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 Socratic graph.