Evidence map›Paper›PMID 36575657›Full record

ArticleHeliyon2022

Performance and correlation of ten commercial immunoassays for the detection of SARS-CoV-2 antibodies.

Dewi Lokida, Muhammad Karyana, Herman Kosasih, Yan Mardian, Retna Indah Sugiyono, Dona Arlinda, Nurhayati Lukman, Gustiani Salim, Deni Pepy Butar Butar, Adhella Menur Naysilla and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
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

11 authors at 3 institutions in 1 country.

Dewi LokidaDepartment of Clinical Pathology, Tangerang District Hospital, Jl. Jend. Ahmad Yani No.9, Sukaasih, Banten 15111, Indonesia.
Muhammad KaryanaNational Institute of Health Research and Development, Ministry of Health, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Herman KosasihIndonesia Research Partnership on Infectious Disease (INA-RESPOND), Building 6, Center 3, 3 Floor, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Yan MardianIndonesia Research Partnership on Infectious Disease (INA-RESPOND), Building 6, Center 3, 3 Floor, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Retna Indah SugiyonoNational Institute of Health Research and Development, Ministry of Health, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Dona ArlindaNational Institute of Health Research and Development, Ministry of Health, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Nurhayati LukmanIndonesia Research Partnership on Infectious Disease (INA-RESPOND), Building 6, Center 3, 3 Floor, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Gustiani SalimIndonesia Research Partnership on Infectious Disease (INA-RESPOND), Building 6, Center 3, 3 Floor, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Deni Pepy Butar ButarIndonesia Research Partnership on Infectious Disease (INA-RESPOND), Building 6, Center 3, 3 Floor, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Adhella Menur NaysillaIndonesia Research Partnership on Infectious Disease (INA-RESPOND), Building 6, Center 3, 3 Floor, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
IrmansyahNational Institute of Health Research and Development, Ministry of Health, Jalan Percetakan Negara No. 29, Jakarta 10560, Indonesia.
Pertamina (Indonesia) · IDMinistry of Health · IDUniversitas Muhammadiyah Tangerang · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate immunoassays with a good correlation to neutralizing antibodies are required to support SARS-CoV-2 diagnosis, management, vaccine deployment, and epidemiological investigation. We conducted a study to evaluate the performance and correlation of the surrogate virus neutralization test (sVNT) and other commercial immunoassays. We tested 107 sera of COVID-19 confirmed cases from three different time points, 58 confirmed non-COVID-19 sera, and 52 sera collected before the pandemic with two sVNTs, seven chemiluminescent assays, and one fluorescein assay. All assays achieved excellent sensitivity (95%-100%, ≥15 days after onset of illness), specificity (95.5%-100%), and showed moderate to high correlation with GenScript sVNT (r = 0.58 to r = 0.98), except Roche total antibodies (r = 0.48). Vazyme sVNT and Siemens total antibodies showed the highest correlation with GenScript sVNT (r = 0.98 and 0.88, respectively). Median indexes that may be used to estimate sera with the highest ability to inhibit SARS-CoV-2 and ACE-2 receptor attachment (GenScript sVNT inhibition 90%-100%) were 6.9 S/C (Abbott IgG), 161.9 COI (FREND™ IgG), 16.8 AU/ml (Snibe IgG), 40.1 S/CO (Beckman IgG), 281.9 U/ml (Mindray IgG), 712.2 U/ml (Mindray total antibodies), >10 index (Siemens total antibodies), and 95.3% inhibition (Vazyme sVNT). All ten commercial COVID-19 serology assays, with different targeting antigens, demonstrated a reliable performance, supporting the utility of those assays in clinical and research settings. However, further studies using more samples are needed to refine the results of evaluating the performances of these marketed serological assays. Reliable serological assays would be useful for clinicians, researchers and epidemiologists in confirming SARS-CoV-2 infections, observing SARS-CoV-2 transmission, and immune response post infection and vaccination, leading to better management and control of the disease.

Indexed as

AntibodiesImmunoassaysSARS-CoV-2sVNT

Identifiers

PMID36575657
PMCPMC9783098
OpenAlexW4313263548

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.