Evidence map›Paper›PMID 34301777›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2022

Lessons Learned from Post-COVID-19 Vaccination PET/CT Studies.

Marina Orevi, Alexandre Chicheportiche, Simona Ben Haim

Open access · hybridAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The functional views on response of host rabbit post coronavirus vaccination via ACE2 PET.American journal of nuclear medicine and molecular imaging · 2023
    Article
  7. Article
  8. Temporary Reactive Response of Axillary Lymph Nodes to COVID-19 Vaccination onJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. 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
  15. Review
  16. Review
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

3 authors at 1 institution in 2 countries.

Marina OreviDepartment of Nuclear Medicine and Biophysics, Hadassah Medical Organization, Jerusalem, Israel; marinaor@hadassah.org.il.
Alexandre ChicheporticheDepartment of Nuclear Medicine and Biophysics, Hadassah Medical Organization, Jerusalem, Israel.
Simona Ben HaimDepartment of Nuclear Medicine and Biophysics, Hadassah Medical Organization, Jerusalem, Israel.
Hadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination against coronavirus 2019 (COVID-19) has created new challenges. Lymphadenopathy with increased uptake in patients undergoing PET/CT may mislead to unnecessary further evaluation. We have analyzed routinely performed PET/CT studies after Pfizer-BioNTech vaccination to familiarize ourselves with the PET/CT appearance of various PET tracers and to prevent the consequences of misinterpretation.

Indexed as

VaccinationBNT162 VaccineCOVID-19FemaleFluorodeoxyglucose F18HumansLymphadenopathyLymph NodesMalePositron Emission Tomography Computed TomographyRetrospective StudiesSARS-CoV-2BNT162 VaccineFluorodeoxyglucose F18COVID-19lymphadenopathypatternPET/CTvaccination

Identifiers

PMID34301777
PMCPMC8978202
OpenAlexW3185742757

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.