Evidence map›Paper›PMID 37142867›Full record

ArticleEuropean radiology2023

Prediction of effective humoral response to SARS-CoV-2 vaccines in healthy subjects by cortical thickness of post-vaccination reactive lymphadenopathy.

Alba Cristina Igual-Rouilleault, Ignacio Soriano, Paola Leonor Quan, Gabriel Reina, José Luis Del Pozo, Álvaro Gónzalez, Leire Fernández-Ciriza, Alejandro Fernández-Montero, Luis Pina, Arlette Elizalde

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Alba Cristina Igual-RouilleaultDepartment of Radiology, Clínica Universidad de Navarra, Avenida Pío XII 36, Pamplona, Spain. aigual@unav.es.
Ignacio SorianoDepartment of Radiology, Clínica Universidad de Navarra, Avenida Pío XII 36, Pamplona, Spain.
Paola Leonor QuanDepartment of Allergy and Clinical Immunology, Clínica Universidad de Navarra, Avenida Pío XII 36, Pamplona, Spain.
Gabriel ReinaClinical Microbiology Unit, Clínica Universidad de Navarra, Avenida Pío XII 36, Pamplona, Spain. gabi@unav.es.
José Luis Del PozoInfectious Diseases Division, Clínica Universidad de Navarra, Avenida Pío XII 36, Pamplona, Spain.
Álvaro GónzalezLaboratory of Biochemistry, Clínica Universidad de Navarra, Avenida Pío XII 36, Pamplona, Spain.
Leire Fernández-CirizaClinical Microbiology Unit, Clínica Universidad de Navarra, Avenida Pío XII, 36, Pamplona, Spain.
Alejandro Fernández-MonteroPrevention and Health Service, Clínica Universidad de Navarra, Avenida Pío XII, 36, Pamplona, Spain.
Luis PinaBreast Imaging Unit, Department of Radiology, Clínica Universidad de Navarra, Avenida Pío XII, 36, Pamplona, Spain.
Arlette ElizaldeBreast Imaging Unit, Department of Radiology, Clínica Universidad de Navarra, Avenida Pío XII, 36, Pamplona, Spain.
Clinica Universidad de Navarra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo study the association between ultrasound cortical thickness in reactive post-vaccination lymph nodes and the elicited humoral response and to evaluate the performance of cortical thickness as a predictor of vaccine effectiveness in patients with and without a previous history of COVID-19 infection.

methodsA total of 156 healthy volunteers were recruited and followed prospectively after receiving two COVID-19 vaccination doses using different protocols. Within a week after receiving the second dose, an axillary ultrasound of the ipsilateral vaccinated arm was performed, and serial post-vaccination serologic tests (PVST) were collected. Maximum cortical thickness was chosen as a nodal feature to analyze association with humoral immunity. Total antibodies quantified during consecutive PVST in previously-infected patients and in coronavirus-naïve volunteers were compared (Mann-Whitney U test). The association between hyperplastic-reactive lymph nodes and effective humoral response was studied (odds ratio). The performance of cortical thickness in detecting vaccination effectiveness was evaluated (area under the ROC curve).

resultsSignificantly higher values for total antibodies were observed in volunteers with a previous history of COVID-19 infection (p < 0.001). The odds ratio associating immunized coronavirus-naïve volunteers after 90 and 180 days of the second dose with a cortical thickness ≥ 3 mm was statistically significant (95% CI 1.52-6.97 and 95% CI 1.47-7.29, respectively). The best AUC result was obtained comparing antibody secretion of coronavirus-naïve volunteers at 180 days (0.738).

conclusionsUltrasound cortical thickness of reactive lymph nodes in coronavirus-naïve patients may reflect antibody production and a long-term effective humoral response elicited by vaccination. CLINICAL RELEVANCE STATEMENT: In coronavirus-naïve patients, ultrasound cortical thickness of post-vaccination reactive lymphadenopathy shows a positive association with protective antibody titers against SARS-CoV-2, especially in the long term, providing new insights into previous publications. KEY POINTS: • Hyperplastic lymphadenopathy was frequently observed after COVID-19 vaccination. • Ultrasound cortical thickness of reactive post-vaccine lymph nodes may reflect a long-term effective humoral response in coronavirus-naïve patients.

Indexed as

COVID-19LymphadenopathyCOVID-19 VaccinesHealthy VolunteersHumansSARS-CoV-2VaccinationCOVID-19 VaccinesCOVID-19 vaccinesHealthy volunteersLymphadenopathy

Identifiers

PMID37142867
PMCPMC10159827
OpenAlexW4372334652

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.