Evidence map›Paper›PMID 39841747›Full record

ArticlePLOS global public health2025

High prevalence of undocumented SARS-CoV-2 infections revealed by analysis of nucleocapsid-specific IgG responses in diagnosed and undiagnosed individuals.

Kim Blom, Ilias Galanis, Philip Bacchus, Klara Sondén, Ioana Bujila, Tatiana Efimova, Fredrik Garli, Mikael Mansjö, Elin Movert, Aleksandra Pettke and 9 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Kim BlomPublic Health Agency of Sweden, Solna, Sweden.
Ilias GalanisPublic Health Agency of Sweden, Solna, Sweden.
Philip BacchusLund University, Lund, Sweden.ORCID https://orcid.org/0000-0001-9800-1957
Klara SondénPublic Health Agency of Sweden, Solna, Sweden.
Ioana BujilaPublic Health Agency of Sweden, Solna, Sweden.
Tatiana EfimovaPublic Health Agency of Sweden, Solna, Sweden.
Fredrik GarliPublic Health Agency of Sweden, Solna, Sweden.
Mikael MansjöPublic Health Agency of Sweden, Solna, Sweden.ORCID https://orcid.org/0000-0001-9289-351X
Elin MovertPublic Health Agency of Sweden, Solna, Sweden.ORCID https://orcid.org/0009-0009-8868-3929
Aleksandra PettkePublic Health Agency of Sweden, Solna, Sweden.
Marie RappPublic Health Agency of Sweden, Solna, Sweden.
Maike SperkPublic Health Agency of Sweden, Solna, Sweden.
Sandra SöderholmPublic Health Agency of Sweden, Solna, Sweden.
Karin Valentin AsinPublic Health Agency of Sweden, Solna, Sweden.
Sarah ZanettiPublic Health Agency of Sweden, Solna, Sweden.
Magnus GisslénPublic Health Agency of Sweden, Solna, Sweden.
Andreas BråvePublic Health Agency of Sweden, Solna, Sweden.
Ramona GroenheitPublic Health Agency of Sweden, Solna, Sweden.ORCID https://orcid.org/0000-0003-2696-437X
Jonas KlingströmPublic Health Agency of Sweden, Solna, Sweden.ORCID https://orcid.org/0000-0001-9076-1441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute SARS-CoV-2 infections are not always diagnosed; hence an unknown proportion of all infections are not documented. SARS-CoV-2 can induce spike and nucleocapsid protein specific IgG antibodies, which can be detected in seroprevalence studies to identify a previous infection. However, with the introduction of vaccines containing the spike protein it is no longer possible to use spike-IgG as a marker of infection. In many countries marketed vaccines do not include the nucleocapsid protein, allowing the use of nucleocapsid-specific IgG (N-IgG) as a specific marker for previous infection. Importantly however, not all SARS-CoV-2-infected individuals develop detectable N-IgG responses and there are reports of waning of N-IgG titers in previously infected individuals, complicating the use of N-IgG in seroprevalence studies. Here, our aim was to investigate N-IgG as a marker for previous infection. To this end we analyzed a well characterized cohort (n = 2,583; sampled in March, 2022), including 612 participants with a previously diagnosed and documented SARS-CoV-2-infection. We show that 75% (460/612) of the confirmed SARS-CoV-2-infected participants were N-IgG positive, and that the frequency of seropositivity was stable for at least 105 weeks after the latest documented SARS-CoV-2-infection. Among participants with no documented SARS-CoV-2-infection, 32.6% (642/1971) were N-IgG-positive, suggesting a previous infection. Assuming similar frequency of N-IgG-seronegative cases in previously diagnosed and undiagnosed individuals we further estimate that 214 of the 1329 undiagnosed and N-IgG-negative cases had been previously infected, indicating a total infection rate of 56.8% (1,468/2,583), clearly higher than the documented 23.7% rate of infection, in this cohort. In conclusion, our results suggest that while N-IgG is a good marker of previous SARS-CoV-2-infection the large proportion of previously infected N-IgG-negative individuals introduces a risk for underestimations of total level of previously infected individuals in a population. Accounting for this dark number of undiagnosable cases can provide better estimates of total level of infected individuals in a population.

Identifiers

PMID39841747
PMCPMC11753678

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.