Evidence map›Paper›PMID 34506955›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2022

Axillary Lymphadenopathy After Coronavirus Disease 2019 Vaccinations in Patients With Thoracic Malignancy: Incidence, Predisposing Factors, and Imaging Characteristics.

Mizuki Nishino, Hiroto Hatabu, Biagio Ricciuti, Victor Vaz, Kesi Michael, Mark M Awad

Open access · bronzeAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Observational
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  10. Effect of Coronavirus Disease 2019 Vaccine-Related Lymphadenopathy on Lung Cancer Treatment.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2022
    Article
  11. Review
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  13. Reply to K. Takada et al.JTO clinical and research reports · 2021
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  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Mizuki NishinoDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts. Electronic address: Mizuki_Nishino@dfci.harvard.edu.
Hiroto HatabuDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts.
Biagio RicciutiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Victor VazDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Kesi MichaelDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Mark M AwadDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Brigham and Women's Hospital · US

Funding

Automated in vivo analysis of tumor growth rate as a guide for therapeutic decisions to advance personalized cancer treatmentR01CA203636 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI NISHINO, MIZUKI · 2017 to 2021
$2.9M
NCI NIH HHS R01 CA203636
6 · The paper itself

Abstract

objectivesAxillary lymphadenopathy from coronavirus disease 2019 (COVID-19) vaccine is an emerging phenomenon during unprecedented mass vaccinations, which can be incidentally found on computed tomography (CT) scans. This study investigated the incidence, predisposing factors, and imaging characteristics of vaccine-related axillary lymphadenopathy in patients with thoracic malignancy who underwent CT scans before and after COVID-19 vaccinations.

methodsThe study included patients with thoracic malignancies who received two doses of mRNA-based COVID-19 vaccinations and had prevaccine and postvaccine chest CT scans. Postvaccine chest CT scan results were reviewed for increase in size of lymph nodes in the axilla and subpectoral areas, comparing with the prevaccine scan results. The cases with lymphadenopathy were further reviewed independently by two radiologists referring to clinical information to find whether lymphadenopathy was attributed to the vaccinations.

resultsVaccine-related axillary lymphadenopathy was noted in 21 of 232 patients (9.0%). The median short-axis diameter of the largest node was 7 mm (range: 5-14 mm). The median number of increased nodes was 4 (range: 1-10). The median time to the postvaccine scan revealing lymphadenopathy was 1.7 weeks (range: -2.9 to 6.6) from the second dose. Vaccine-related lymphadenopathy was noted more often in women than in men (18 of 144, 12.5% versus 3 of 88, 3.4%, respectively; p = 0.019) and with mRNA-1273 vaccines than BNT162b2 vaccines (6 of 28, 21% versus 15 of 204, 7.4%, respectively; p = 0.026).

conclusionsThe incidence of lymphadenopathy was 9%, with a median onset time of 1.7 weeks after the second vaccine dose. Female sex and vaccine type (mRNA-1273 vaccine) were associated with higher frequency of lymphadenopathy, providing initial observations to inform further investigations in larger cohorts.

Indexed as

COVID-19Lung NeoplasmsLymphadenopathyThoracic Neoplasms2019-nCoV Vaccine mRNA-1273BNT162 VaccineCausalityFemaleHumansIncidenceMaleSARS-CoV-2Vaccination2019-nCoV Vaccine mRNA-1273BNT162 VaccineComputed tomographyCOVID-19LymphadenopathymRNA vaccineVaccinations

Identifiers

PMID34506955
PMCPMC8423658
OpenAlexW3197069626

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.