Evidence map›Paper›PMID 39575255›Full record

Observational studyFrontiers in immunology2024

Risk factors for COVID-19 pneumonia in patients with hematological malignancies: a multi-center, prospective study in China.

Jun Li, Ran Chen, Lin Cao, Yi Liu, Yong Zhang, Xia Wei, Zhanshu Liu, Zailiang Yang, Ling Liu, Meiyu Zhou and 18 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2024. 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. Review
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

28 authors.

Jun LiDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Ran ChenMental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.
Lin CaoDepartment of Nuclear Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Yi LiuDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yong ZhangDepartment of Hematology, the Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xia WeiDepartment of Hematology, the Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhanshu LiuDepartment of Hematology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Zailiang YangDepartment of Hematology and Medical Oncology, Chongqing University Fuling Hospital, Chongqing, China.
Ling LiuDepartment of Medical Laboratory, People's Hospital of Chongqing Liang Jiang New Area, Chongqing, China.
Meiyu ZhouDepartment of Hematology and Medical Oncology, Chongqing University Fuling Hospital, Chongqing, China.
Guofa XuDepartment of Hematology and Medical Oncology, Chongqing University Fuling Hospital, Chongqing, China.
Lanting ChenDepartment of Hematology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Yao DingDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Haike LeiDepartment of Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China.
Lisheng LiuDepartment of Nuclear Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Zailin YangDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Shuang ChenDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaomei ZhangDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yifeng TangDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Huihui FuDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Sanxiu HeDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Qing XiaoDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaoqing XieDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Qiying LiDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yingyu NanDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Jieping LiDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaoliang ChenDepartment of Nuclear Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Yao LiuDepartment of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to investigate risk factors for COVID-19 pneumonia in patients with hematological malignancies (HM) after Omicron infection. Methods: Data from a registered multi-center, prospective, observational study (ChiCTR2300071830) during the latest Omicron BA.5.2 wave in Chongqing, China was used for analysis. Results: A total of 475 HM patients enrolled in this study. COVID-19 pneumonia was observed in 15.8% (75/475) of patients, with a median age of 58 years (interquartile range [IQR], 48-69 years) and males accounting for 61.3%. Risk factors associated with COVID-19 pneumonia included: 1) Active disease status of HM at infection, with an odds ratio (OR) of 3.42 (95% confidence interval [CI]: 1.59-7.37, P=0.002) compared to complete remission (CR); 2) Incomplete COVID-19 vaccination, 1-2 doses of the vaccine (OR=2.55, 95% CI: 1.28-5.10, P=0.008) or no vaccination (OR=4.81, 95% CI: 2.45-9.43, P<0.001), as opposed to 3 doses (booster); 3) chemotherapy prior to infection, <6 months (OR=2.58, 95% CI: 1.12-5.96, P=0.027) or ≥ 6 months (OR=2.93, 95% CI: 1.31-6.53, P=0.009) compared to no chemotherapy history; 4) NK-cell reduction (< 150/μL) (OR=2.19, 95% CI: 1.27-3.79, P=0.005) versus a normal range of NK cells. During the 6-week follow-up period, 12 patients (2.5%) died, accounting for 16% of COVID-19 pneumonia patients. Conclusions: Our study investigated risk factors for COVID-19 pneumonia in HM patients after Omicron BA.5.2 infection. Highlights that HM patients with these risk factors may be susceptible to lung involvement after Omicron BA.5.2 infection and need to be taken seriously in clinical practice. Clinical Trial Registration: https://www.chictr.org.cn/bin/project/edit?pid=195998, identifier ChiCTR2300071830.

Indexed as

COVID-19Hematologic NeoplasmsAdultAgedChinaCOVID-19 VaccinesFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsSARS-CoV-2COVID-19 VaccinesCOVID-19 pneumoniahematological malignanciesOmicron BA.5.2risk factorsSARS-CoV-2

Identifiers

PMID39575255
PMCPMC11578944

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.