Evidence mapPaperPMID 40140499Full record

ArticleScientific reports2025

Differences in Covid-19 deaths amongst cancer patients and possible mediators for this relationship.

Leah Vaidya, Nubaira Rizvi, Xiao-Cheng Wu, Lauren S Maniscalco, Yong Yi, Augusto Ochoa, Qingzhao Yu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

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No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Leah VaidyaBiostatistics and Data Science, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Nubaira RizviBiostatistics and Data Science, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Xiao-Cheng WuLouisiana Tumor Registry, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Lauren S ManiscalcoLouisiana Tumor Registry, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Yong YiLouisiana Tumor Registry, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Augusto OchoaStanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Qingzhao YuBiostatistics and Data Science, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA. Qyu@lsuhsc.edu.

Funding

Developing LG007 as a novel therapeutic agent to treat triple negative breast cancerR01CA260698 · UNIVERSITY OF GEORGIA · 2025 to 2025
$756k
Interactions between ES-miRNAs and environmental risk factors are responsible for TNBC progression and associated racial health disparities: a novel analysis with multilevel moderation inferencesR01CA275089 · NCI · LSU HEALTH SCIENCES CENTER · 2024 to 2025
$656k
Trends of disparities in breast cancer progression and health care considering multilevel risk factorsR15MD012387 · NIMHD · LSU HEALTH SCIENCES CENTER · PI Qingzhao Yu · 2022 to 2022
$452k
National Institute of Minority Health and Health Disparities 2R15MD012387-02NCI NIH HHS R01CA260698NCI NIH HHS R01 CA275089NCI NIH HHS R01CA275089NIMHD NIH HHS R15 MD012387
6 · The paper itself

Abstract

Previous research demonstrated Non-Hispanic Black populations experience higher COVID-19 mortality rates than Non-Hispanic White individuals. Additionally, cancer status is a known risk factor for COVID-19 death. While prior studies investigated comorbidities as exploratory variables in differences in COVID-19 hospitalization, none have explored their role in COVID-19-related deaths. This study aimed to evaluate whether Charlson Comorbidity Index (CCI) and subsequently, individual diseases are potential explanatory variables for this relationship. The analysis focused on Non-Hispanic Black and Non-Hispanic White cancer patients aged 20 or older, diagnosed between 2011 and 2019, who tested positive for COVID-19 from the start of pandemic through June 30, 2021 from Louisiana Tumor Registry. Two separate mediation analyses were conducted. First checked whether overall comorbidity, measured by CCI, could explain the difference in COVID-19 mortality. If so, further checked which individual comorbidities contributed to this difference. The hazard rate for Non-Hispanic Black cancer patients dying from COVID-19 was 6.46 times than that of Non-Hispanic White patients. The CCI accounted for 12.7% of the differences observed in COVID-19 mortality, with renal disease as the top contributor, explaining 4.9%. These findings could help develop interventions to reduce COVID-19 mortality and address the disproportionate impact, especially by managing chronic conditions like renal disease.

Indexed as

COVID-19NeoplasmsAdultAgedAged, 80 and overBlack or African AmericanComorbidityFemaleHumansLouisianaMaleMiddle AgedRegistriesRisk FactorsSARS-CoV-2WhiteCancerCharlson comorbidity indexCovid-19Mediation analysisRacial differenceRenal disease

Identifiers

PMID40140499
PMCPMC11947243

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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.