Evidence map›Paper›PMID 34225644›Full record

ArticleBMC infectious diseases2021

Sex-based clinical and immunological differences in COVID-19.

Bin Huang, Yun Cai, Ning Li, Kening Li, Zhihua Wang, Lu Li, Lingxiang Wu, Mengyan Zhu, Jie Li, Ziyu Wang and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 215 citations in OpenAlex.

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  16. SARS-CoV-2 infection and female reproductive health: A narrative review.Best practice & research. Clinical endocrinology & metabolism · 2023
    Review
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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

18 authors at 3 institutions in 1 country.

Bin Huang *Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Yun Cai *Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Ning Li *Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Kening Li *Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Zhihua WangDepartment of Laboratory Medicine & Blood Transfusion, the 907th Hospital, Nanping, 350702, Fujian, China.
Lu LiCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Lingxiang WuCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Mengyan ZhuCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Jie LiCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Ziyu WangCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Min WuCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Wanlin LiCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Wei WuCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Lishen ZhangCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Xinyi XiaJoint Expert Group for COVID-19, Department of Laboratory Medicine & Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan, 430100, China. xiaxynju@163.com.
Shukui WangDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China. sk_wang@njmu.edu.cn.
Hongshan ChenKey Laboratory of Cardiovascular & Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing, China. hongshanchen@njmu.edu.cn.
Qianghu WangCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. wangqh@njmu.edu.cn.ORCID http://orcid.org/0000-0002-3488-1059
Nanjing Medical University · CNSecond Affiliated Hospital of Nanjing Medical University · CNWuhan Blood Center · CN

Funding

Basic Research Program of Jiangsu Province BK20180036Key Foundation of Wuhan Huoshenshan Hospital 2020[18]Key Research& Development Program of Jiangsu Province BE2017733Key Research& Development Program of Jiangsu Province BE2018713Medical Innovation Project of Logistics Service 18JS005National Natural Science Foundation of China 81572893National Natural Science Foundation of China 81972358National Natural Science Foundation of China 91959113
6 · The paper itself

Abstract

backgroundMales and females differ in their immunological responses to foreign pathogens. However, most of the current COVID-19 clinical practices and trials do not take the sex factor into consideration.

methodsWe performed a sex-based comparative analysis for the clinical outcomes, peripheral immune cells, and severe acute respiratory syndrome coronavirus (SARS-CoV-2) specific antibody levels of 1558 males and 1499 females COVID-19 patients from a single center. The lymphocyte subgroups were measured by Flow cytometry. The total antibody, Spike protein (S)-, receptor binding domain (RBD)-, and nucleoprotein (N)- specific IgM and IgG levels were measured by chemiluminescence.

resultsWe found that male patients had approximately two-fold rates of ICU admission (4.7% vs. 2.7% in males and females, respectively, P = 0.005) and mortality (3% vs. 1.4%, in males and females, respectively, P = 0.004) than female patients. Survival analysis revealed that the male sex is an independent risk factor for death from COVID-19 (adjusted hazard ratio [HR] = 2.22, 95% confidence interval [CI]: 1.3-3.6, P = 0.003). The level of inflammatory cytokines in peripheral blood was higher in males during hospitalization. The renal (102/1588 [6.5%] vs. 63/1499 [4.2%], in males and females, respectively, P = 0.002) and hepatic abnormality (650/1588 [40.9%] vs. 475/1499 [31.7%], P = 0.003) were more common in male patients than in female patients. By analyzing dynamic changes of lymphocyte subsets after symptom onset, we found that the percentage of CD19+ B cells and CD4+ T cells was generally higher in female patients during the disease course of COVID-19. Notably, the protective RBD-specific IgG against SARS-CoV-2 sharply increased and reached a peak in the fourth week after symptom onset in female patients, while gradually increased and reached a peak in the seventh week after symptom onset in male patients.

conclusionsMales had an unfavorable prognosis, higher inflammation, a lower percentage of lymphocytes, and indolent antibody responses during SARS-CoV-2 infection and recovery. Early medical intervention and close monitoring are important, especially for male COVID-19 patients.

Indexed as

AdultAgedAntibodies, ViralAntibody FormationCOVID-19FemaleHumansImmunoglobulin GLymphocyte SubsetsMaleMiddle AgedSARS-CoV-2Sex CharacteristicsAntibodies, ViralImmunoglobulin GCOVID-19ImmunologyPrognosisSARS-CoV-2Sex

Identifiers

PMID34225644
PMCPMC8256650
OpenAlexW3081951523

What OpenQuestion 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 OpenQuestion graph.