Evidence map›Paper›PMID 35767154›Full record

ArticleCurrent microbiology2022

The Duration and Determinants of Anti-SARS-CoV-2 Immunoglobulin G in Cancer Patients with SARS-CoV-2 Infection: A Longitudinal Study.

Yao Jiang, Yingchao Zhao, Guiling Li

Open access · hybridAbstract read
In one paragraph

Article in Current microbiology, 2022. 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, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Yao JiangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Road, Wuhan, 430022, Hubei, China.
Yingchao Zhao *Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Road, Wuhan, 430022, Hubei, China.
Guiling Li *Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Road, Wuhan, 430022, Hubei, China. lgluh6714@163.com.ORCID http://orcid.org/0000-0002-5663-4585
Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with cancer have an increased risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and a high case-fatality rate. The duration of anti-SARS-CoV-2 immunoglobulin G (IgG) antibodies in cancer patients following SARS-CoV-2 infection has not been reported previously. We conducted a longitudinal study at a cancer center in Wuhan, China to determine the duration of the humoral immune response following SARS-CoV-2 infection in cancer patients and to determine factors associated with a short duration (< 6 months) of anti-SARS-CoV-2 immunoglobulin G (IgG). Of 2139 cancer patients screened, 78 with confirmed SARS-CoV-2 infection were included in this study. SARS-CoV-2 IgG antibodies were present for < 6 months in 39.7% of these patients. In addition, patients who received chemotherapy were more likely to have a short duration of anti-SARS-CoV-2 IgG (odds ratio 5.31, 95% confidence interval 1.09-26.02, P < 0.05). Our study suggests that cancer patients, especially those who were receiving chemotherapy, have a shorter anti-SARS-CoV-2 IgG duration following infection and therefore, should be prioritized for vaccination.

Indexed as

COVID-19NeoplasmsAntibodies, ViralHumansImmunoglobulin GImmunoglobulin MLongitudinal StudiesSARS-CoV-2Antibodies, ViralImmunoglobulin GImmunoglobulin M

Identifiers

PMID35767154
PMCPMC9242909
OpenAlexW4283709896

What OpenQuestion holds

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LicenceCC BY
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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.