Evidence map›Paper›PMID 35062284›Full record

ArticleViruses2022

Patient and Clinical Factors at Admission Affect the Levels of Neutralizing Antibodies Six Months after Recovering from COVID-19.

Xinjie Li, Ling Pang, Yue Yin, Yuqi Zhang, Shuyun Xu, Dong Xu, Tao Shen

Abstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Xinjie LiDepartment of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Ling PangDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Yue YinDepartment of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Yuqi ZhangDepartment of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Shuyun XuDepartment of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Dong XuDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Tao ShenDepartment of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing 100191, China.ORCID 0000-0002-1365-9862

Funding

Beijing Municipal Natural Science Foundation M21021National Natural Science Foundation of China 82072277
6 · The paper itself

Abstract

The rate of decline in the levels of neutralizing antibodies (NAbs) greatly varies among patients who recover from Coronavirus disease 2019 (COVID-19). However, little is known about factors associated with this phenomenon. The objective of this study is to investigate early factors at admission that can influence long-term NAb levels in patients who recovered from COVID-19. A total of 306 individuals who recovered from COVID-19 at the Tongji Hospital, Wuhan, China, were included in this study. The patients were classified into two groups with high (NAb

Indexed as

ConvalescenceAgedAntibodies, NeutralizingAntibodies, ViralChinaCOVID-19FemaleHospitalizationHumansLogistic ModelsMaleMiddle AgedROC CurveSARS-CoV-2Antibodies, NeutralizingAntibodies, Viralcoronavirus disease 2019 (COVID-19)corticosteroidsdiabetesneutralizing antibody (NAb)severe acute respiratory syndrome coronavirus (SARS-CoV-2)

Identifiers

PMID35062284
PMCPMC8779922

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.