Evidence map›Paper›PMID 40457243›Full record

ArticleBMC infectious diseases2025

Evaluating the impact of COVID-19 on cancer care: a comprehensive analysis of treatment modifications, risk factors, and patient outcomes.

Xuquan Jing, Min Wang, Shuangqing Lu, Jiling Niu, Feihu Chen, Hanjing Yin, Haoyu Liu, Dongmei Sun, Hui Zhu

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xuquan Jing *Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Min Wang *Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Shuangqing LuDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Jiling NiuDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Feihu ChenDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Hanjing YinDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Haoyu LiuDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Dongmei SunDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China.
Hui ZhuDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China. drzhuh@126.com.

Funding

China Zhongguancun Precision Medicine science and technology foundation GXZDH72Wu Jieping Medical Foundation 320.6750.2023-16-6
6 · The paper itself

Abstract

backgroundCancer patients will have an increased incidence of corona virus disease 2019 (COVID-19) infection. The severity of COVID-19 infection varies among cancer patients who have other complications and are being treated.

methodThis retrospective cohort study evaluated the impact of cancer treatments on COVID-19 incidence and outcomes in 603 cancer patients. Key objectives included assessing treatment-related risks, severity, and treatment efficacy, along with the effects of treatment interruptions on patient recovery and therapy resumption.

resultThis study included 603 cancer patients, of whom 68 (11.28%) were infected with COVID-19, and 398 (66%) were vaccinated. Logistic regression analysis revealed that underlying comorbidities, chemotherapy, and radiotherapy were significantly associated with an increased risk of COVID-19 infection (P < 0.05 for chemotherapy and radiotherapy). Factors such as sex, smoking status, cancer pathology, and staging showed no significant correlation with COVID-19 incidence. Treatment disruptions during the pandemic were observed, with chemotherapy being most affected (42.86% suspension), while surgery and TKI therapy showed minimal interruption. Efficacy analysis indicated no significant difference in treatment outcomes between suspended and uninterrupted treatments (P = 0.758). Treatment suspensions did not significantly alter toxicity profiles, with bone marrow suppression being the most frequent toxicity.

conclusionChemotherapy and radiotherapy increased the risk of COVID-19 in cancer patients, with treatment interruptions not affecting efficacy or toxicity, underscoring the need for tailored management.

Indexed as

COVID-19NeoplasmsAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedRadiotherapyRetrospective StudiesRisk FactorsSARS-CoV-2Treatment OutcomeAnti-vascular therapyCancerChemotherapyCOVID-19ImmunotherapyRadiotherapyTyrosine kinase inhibitors

Identifiers

PMID40457243
PMCPMC12128528

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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 OpenQuestion graph.