Evidence map›Paper›PMID 34924308›Full record

ArticleRespiratory investigation2022

Antibody responses to SARS-CoV-2 nucleocapsid and spike proteins in hospitalized patients with COVID-19: A multicenter, retrospective, cross-sectional study in Japan.

Makoto Hibino, Shigehiro Watanabe, Shunichi Tobe, Kazunari Maeda, Shigeto Horiuchi, Sho Nishiguchi, Akihiko Iwase, Kiyoaki Uryu, Shuzo Kobayashi, Tetsuri Kondo

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Respiratory investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Observational
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

10 authors at 5 institutions in 1 country.

Makoto HibinoDepartment of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, 1-5-1 Tsujido Kandai, Fujisawa, Kanagawa, 251-0041, Japan. Electronic address: m-hibino@ctmc.jp.
Shigehiro WatanabeDepartment of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, 1-5-1 Tsujido Kandai, Fujisawa, Kanagawa, 251-0041, Japan.
Shunichi TobeDepartment of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, 1-5-1 Tsujido Kandai, Fujisawa, Kanagawa, 251-0041, Japan.
Kazunari MaedaDepartment of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, 1-5-1 Tsujido Kandai, Fujisawa, Kanagawa, 251-0041, Japan.
Shigeto HoriuchiDepartment of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, 1-5-1 Tsujido Kandai, Fujisawa, Kanagawa, 251-0041, Japan.
Sho NishiguchiDepartment of General Internal Medicine, Shonan Kamakura General Hospital, 1370-1 Okamoto, Kamakura, Kanagawa, 247-8533, Japan.
Akihiko IwaseDepartment of Respiratory Medicine, Chiba-Nishi General Hospital, 107-1 Kanegasaku, Matsudo, Chiba, 270-2251, Japan.
Kiyoaki UryuDepartment of Respiratory Medicine, Yao Tokushukai General Hospital, 1-17 Wakakusa, Yao, Osaka, 581-0011, Japan.
Shuzo KobayashiDepartment of Nephrology, and Kidney & Dialysis Center, Shonan Kamakura General Hospital, 1370-1 Okamoto, Kamakura, Kanagawa, 247-8533, Japan.
Tetsuri KondoDepartment of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, 1-5-1 Tsujido Kandai, Fujisawa, Kanagawa, 251-0041, Japan.
Yokufukai Hospital · JPShonan Kamakura General Hospital · JPChiba-Nishi General Hospital · JPShonan Institute of Technology · JPYao Tokushukai General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many commercially available automated assays for assessing coronavirus disease 2019 (COVID-19) immune responses; however, owing to insufficient data, their validities remain unknown. Here, we examined antibody responses during acute-phase COVID-19 using four assays that detect anti-spike protein IgM (S-IgM), anti-nucleocapsid protein IgG (N-IgG), anti-spike protein total Ig (S-total Ig), and anti-spike protein IgG (S-IgG).

methodsWe measured antibody levels in 1154 serum samples collected from 286 hospitalized patients with confirmed COVID-19 by a gene amplification method between February and December 2020 in Japan. Sera from 860 healthcare workers were used as negative controls.

resultsThe antibody positivity rates increased on week 2, peaked, and then started to plateau by the beginning of week 3 after symptom onset. On week 1, there were some significant differences in seropositivity rates between assays (p = 0.032): 14.9% (11.0%-19.4%) for S-IgM and 8.9% (6.0%-12.7%) for N-IgG. The seropositivity for the S-total Ig (10.6% [7.3%-14.6%]) assay was considerably better than that for the S-IgG (6.9% [4.3%-10.4%]) assay, although the difference was not statistically significant (p = 0.150). The levels of S-IgM antibodies and the three others peaked on weeks 3 and 5, respectively. All four assays showed high specificities (>99%).

conclusionsAll four assays had good specificities and were suitable for seropositivity detection after week 3 of symptom onset. Assays of IgM alone or total Ig (containing IgM) were better than those of IgG alone as an adjunct serological test for early-stage COVID-19 diagnosis, albeit the use of a serological assay alone is insufficient.

Indexed as

COVID-19Antibodies, ViralAntibody FormationCOVID-19 TestingCross-Sectional StudiesHumansImmunoglobulin GJapanNucleocapsidRetrospective StudiesSARS-CoV-2Sensitivity and SpecificitySpike Glycoprotein, CoronavirusAntibodies, ViralImmunoglobulin GSpike Glycoprotein, CoronavirusCOVID-19ImmunoglobulinSARS-CoV-2SeroconversionSerology

Identifiers

PMID34924308
PMCPMC8639401
OpenAlexW4200365938

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.