Evidence map›Paper›PMID 35015858›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Incidence of Positive Severe Acute Respiratory Syndrome Coronavirus Polymerase Chain Reaction After Coronavirus Disease 2019 Vaccination With up to 8 Months of Follow-up: Real-life Data From the Capital Region of Denmark.

Line Dam Heftdal, Martin Schultz, Theis Lange, Andreas Dehlbæk Knudsen, Kamille Fogh, Rasmus Bo Hasselbalch, Christine Borgen Linander, Thomas Kallemose, Henning Bundgaard, Kirsten Grønbæk and 3 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Rapid reinfection of severe acute respiratory syndrome coronavirus 2 confirmed with sequencing in a solid organ transplant recipient.Transplant infectious disease : an official journal of the Transplantation Society · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Line Dam HeftdalDepartment of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Martin SchultzDepartment of Internal Medicine, Geriatric Section, Herlev-Gentofte University Hospital, Herlev, Denmark.
Theis LangeDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Andreas Dehlbæk KnudsenDepartment of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-5349-7829
Kamille FoghDepartment of Cardiology, Herlev-Gentofte University Hospital, Herlev, Denmark.
Rasmus Bo HasselbalchDepartment of Cardiology, Herlev-Gentofte University Hospital, Herlev, Denmark.
Christine Borgen LinanderDepartment of Clinical Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
Thomas KallemoseDepartment of Clinical Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
Henning BundgaardDepartment of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0563-7049
Kirsten GrønbækDepartment of Hematology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Palle Valentiner-BranthDivision of Infectious Diseases Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Kasper IversenDepartment of Cardiology, Herlev-Gentofte University Hospital, Herlev, Denmark.
Susanne Dam NielsenDepartment of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) vaccines are implemented worldwide in efforts to curb the pandemic. This study investigates the risk of a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcriptase polymerase chain reaction (RT-PCR) test following BNT162b2 vaccination in a large real-life population in Denmark.

methodsVaccination status and positive SARS-CoV-2 RT-PCR results from adults in the Capital Region of Denmark (n = 1 549 488) were obtained from national registries. PCR testing was free and widely available. The number of positive PCR tests per individual at risk was calculated as weekly rates. Time to positive PCR test was modelled using Kaplan-Meier methods and hazard ratios (HRs) were calculated using Cox regression.

resultsA total of 1 119 574 individuals received the first dose of BNT162b2 and 1 088 879 received a second dose of BNT162b2. Individuals were followed up to 8.7 months after first dose (median: 5.5 months; interquartile ratio: 4.1-8.7). Rates of PCR-confirmed SARS-CoV-2 infection 2-4 months after the second dose were 0.21, 0.33, and 0.36 per 1000 individuals per week at risk for July, August, and September, respectively. Four or more months after the second dose, the rates were 0.56, 0.76, and 0.53 per 1000 individuals per week at risk for July, August, and September, respectively. HR of SARS-CoV-2 infection after the second dose was 0.2 (95% confidence interval, .05-.48; P = .001) for individuals with 8 months' follow-up.

conclusionsIndividuals who received 2 doses of the BNT162b2 COVID-19 vaccine had a low risk of breakthrough infection after up to 8 months of follow-up. However, there was a tendency toward higher rates with longer follow-up.

Indexed as

COVID-19AdultBNT162 VaccineCOVID-19 TestingCOVID-19 VaccinesDenmarkHumansIncidencePolymerase Chain ReactionRNA, ViralSARS-CoV-2Sensitivity and SpecificityVaccinationBNT162 VaccineCOVID-19 VaccinesRNA, Viral192BNT162b2CoVCOVIDlife datarealSARSvaccination

Identifiers

PMID35015858
PMCPMC8807191

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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.