Evidence map›Paper›PMID 37522901›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2024

Protective effect of vaccination on the risk of cardiovascular disease after SARS-CoV-2 infection.

Jihun Song, Seulggie Choi, Seogsong Jeong, Joo Young Chang, Sun Jae Park, Yun Hwan Oh, Ji Soo Kim, Yoosun Cho, Kyeonghyang Byeon, Jun Yong Choi and 2 more

Abstract read
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In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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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

12 authors at 8 institutions in 1 country.

Jihun SongDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Seulggie ChoiDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Seogsong JeongDepartment of Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea.
Joo Young ChangDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Sun Jae ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea.
Yun Hwan OhDepartment of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Republic of Korea.
Ji Soo KimInternational Healthcare Center, Seoul National University Hospital, Seoul, Republic of Korea.
Yoosun ChoSchool of Medicine, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University, Seoul, Republic of Korea.
Kyeonghyang ByeonBig Data Department, National Health Insurance Service, Wonju, Republic of Korea.
Jun Yong ChoiDepartment of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seju LeeDivision of Infectious Diseases, Department of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea.
Sang Min ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea. smpark.snuh@gmail.com.ORCID http://orcid.org/0000-0002-7498-4829
Seoul National University · KRSeoul National University Hospital · KRCHA University · KRChung-Ang University · KRInha University · KRKangbuk Samsung Hospital · KRNational Health Insurance Service · KRYonsei University · KR

Funding

Korea Centers for Disease Control and Prevention 2021-ER1902-00Korea Health Industry Development Institute HD22C2045
6 · The paper itself

Abstract

objectiveThis study investigated the incidence of CVDs after COVID-19.

methodsData for 2,146,130 infected people were collected, including the vaccination status. COVID-19 patients were classified according to the number of the received vaccine doses: no, first, second, and ≥ third. To evaluate the short-term risk of CVDs after infection, adjusted odds ratios (aOR) and 95% confidence intervals (CIs) were calculated by multivariable logistic regression analysis after adjustments for covariates.

resultsCompared to non-infected people, aORs [95% CIs; p value] for CVDs within a month after infection were 2.80 [2.64-2.97; < 0.001] in overall infected people and 4.62 [4.23-5.05; < 0.001], 4.20 [3.45-5.11; < 0.001], 2.79 [2.55-3.05; < 0.001], and 2.07 [1.91-2.24; < 0.001] in those who were infected after receiving no, first, second, and ≥ third vaccine doses, respectively. Among participants who received second doses of vaccine prior to contracting COVID-19, the aOR in those vaccinated with only the mRNA-based vaccine (BNT162b2 and mRNA-1273; Reference) was lower than those vaccinated with the virus-derived vaccine (ChAdOx1 nCov-19 and AD26.COV2-S; aOR 1.25 [1.06-1.48; < 0.01]).

conclusionAlthough COVID-19 increased the CVD risk, the inverse association in the risk of CVDs according to vaccine doses was significant in a dose-response manner. Our findings suggest that ≥ second doses of the COVID-19 vaccine prevent the risk of CVDs after SARS-CoV-2 infection.

Indexed as

Cardiovascular DiseasesCOVID-19COVID-19 VaccinesBNT162 VaccineChAdOx1 nCoV-19HumansSARS-CoV-2VaccinationBNT162 VaccineChAdOx1 nCoV-19COVID-19 VaccinesCardiovascular diseaseCOVID-19 vaccineSARS-CoV-2 infection

Identifiers

PMID37522901
OpenAlexW4385405911

What Socratic 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 Socratic graph.