Evidence map›Paper›PMID 34318585›Full record

ArticleIUBMB life2021

One-year mortality and consequences of COVID-19 in cancer patients: A cohort study.

Chen Chai, Xiaojun Feng, Meixia Lu, Shoupeng Li, Kui Chen, Hongxiang Wang, Wendan Wang, Zhaoming Tang, Gang Cheng, Xiaoxiong Wu and 13 more

Open access · greenAbstract read
In one paragraph

Article in IUBMB life, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 9 pooled it
3.6field-weighted citation impact, top 5% of its field
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

29 citing papers in PubMed, 9 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
    Pooled it
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  7. Guideline
  8. The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Pooled it
  9. Pooled it
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  13. Article
  14. Systematic Review of the Prevalence of Long COVID.Open forum infectious diseases · 2023
    Article
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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

23 authors at 5 institutions in 2 countries.

Chen ChaiDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0002-6009-3427
Xiaojun FengDepartment of Pathology, NYU Langone Medical Center, New York, New York, USA.ORCID 0000-0003-3490-2873
Meixia LuDepartment of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-5735-6660
Shoupeng LiDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0002-5009-8013
Kui ChenDepartment of Emergency Medicine, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei, China.ORCID 0000-0002-3910-1402
Hongxiang WangDepartment of Hematology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-2499-3604
Wendan WangDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0001-5659-0810
Zhaoming TangDepartment of Laboratory Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Gang ChengComputer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoxiong WuDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.
Yunfeng LiDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.
Yuying WenDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.
Banghong DaDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.
Hong FanDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.
Lei WangDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0002-3750-2974
Fen AiDepartment of Emergency Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wei LiDepartment of Emergency Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Cao PengDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0002-9552-6392
Hongrong ZhangDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0002-6288-9410
Shuang WenDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0002-7161-5710
Jinnong ZhangDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.
Yuxiong WengDepartment of Medical Administration, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zehai TangDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, P.R. China.ORCID 0000-0002-2823-1009
Union Hospital · CNCentral Hospital of Wuhan · CNHuazhong University of Science and Technology · CNHubei University of Medicine · CNNYU Langone Health · US

Funding

The Natural Science Foundation of Hubei Province 2020CFB804
6 · The paper itself

Abstract

The 1-year mortality and health consequences of COVID-19 in cancer patients are relatively underexplored. In this multicenter cohort study, 166 COVID-19 patients with cancer were compared with 498 non-cancer COVID-19 patients and 498 non-COVID cancer patients. The 1-year all-cause mortality and hospital mortality rates in Cancer COVID-19 Cohort (30% and 20%) were significantly higher than those in COVID-19 Cohort (9% and 8%, both P < .001) and Cancer Cohort (16% and 2%, both P < 0.001). The 12-month all-cause post-discharge mortality rate in survival discharged Cancer COVID-19 Cohort (8%) was higher than that in COVID-19 Cohort (0.4%, P < .001) but similar to that in Cancer Cohort (15%, P = .084). The incidence of sequelae in Cancer COVID-19 Cohort (23%, 26/114) is similar to that in COVID-19 Cohort (30%, 130/432, P = .13). The 1-year all-cause mortality was high among patients with hematologic malignancies (59%), followed by those who have nasopharyngeal, brain, and skin tumors (45%), digestive system neoplasm (43%), and lung cancers (32%). The rate was moderate among patients with genitourinary (14%), female genital (13%), breast (11%), and thyroid tumors (0). COVID-19 patients with cancer showed a high rate of in-hospital mortality and 1-year all-cause mortality, but the 12-month all-cause post-discharge mortality rate in survival discharged cancer COVID-19 patients was similar to that in Cancer Cohort. Comparing to COVID-19 Cohort, risk stratification showed that hematologic, nasopharyngeal, brain, digestive system, and lung tumors were high risk (44% vs 9%, P < 0.001), while genitourinary, female genital, breast, and thyroid tumors had moderate risk (10% vs 9%, P = .85) in COVID-19 Cancer Cohort. Different tumor subtypes had different effects on COVID-19. But if cancer patients with COVID-19 manage to survive their COVID-19 infections, then long-term mortality appears to be similar to the cancer patients without COVID-19, and their long-term clinical sequelae were similar to the COVID-19 patients without cancer.

Indexed as

AgedCohort StudiesCOVID-19FemaleHospital MortalityHumansMaleNeoplasmsSARS-CoV-2Cancerconsequencescoronavirus disease 2019mortalityrisk factors

Identifiers

PMID34318585
PMCPMC8426703
OpenAlexW3198523926

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.