Evidence map›Paper›PMID 37219906›Full record

ArticleJAMA network open2023

Factors Associated With Protection From SARS-CoV-2 Omicron Variant Infection and Disease Among Vaccinated Health Care Workers in Israel.

Mayan Gilboa, Tal Gonen, Noam Barda, Shelly Cohn, Victoria Indenbaum, Yael Weiss-Ottolenghi, Sharon Amit, Keren Asraf, Gili Joseph, Tal Levin and 10 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. SARS-CoV-2 Vaccines and Multiple Sclerosis: An Update.Neurology(R) neuroimmunology & neuroinflammation · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

20 authors at 3 institutions in 1 country.

Mayan GilboaThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Tal GonenThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Noam BardaThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Shelly CohnThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Victoria IndenbaumCentral Virology Laboratory, Public Health Directorate, Ministry of Health, Sheba Medical Center, Ramat Gan, Israel.
Yael Weiss-OttolenghiThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Sharon AmitSackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Keren AsrafThe Dworman Automated-Mega Laboratory, Sheba Medical Center, Ramat-Gan, Israel.
Gili JosephThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Tal LevinCentral Virology Laboratory, Public Health Directorate, Ministry of Health, Sheba Medical Center, Ramat Gan, Israel.
Yara KanaanehCentral Virology Laboratory, Public Health Directorate, Ministry of Health, Sheba Medical Center, Ramat Gan, Israel.
Alex AydenzonCentral Virology Laboratory, Public Health Directorate, Ministry of Health, Sheba Medical Center, Ramat Gan, Israel.
Michal CanettiThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Laurence FreedmanBiostatistics and Biomathematics Unit, Gertner Institute of Epidemiology and Health Policy Research, Sheba Medical Center, Ramat-Gan, Israel.
Neta ZuckermanCentral Virology Laboratory, Public Health Directorate, Ministry of Health, Sheba Medical Center, Ramat Gan, Israel.
Ella MendelsonSackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Ram DoolmanThe Dworman Automated-Mega Laboratory, Sheba Medical Center, Ramat-Gan, Israel.
Yitshak KreissSackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Gili Regev-YochayThe Sheba Pandemic Preparedness Research Institute, Sheba Medical Center, Ramat Gan, Israel.
Yaniv LustigSackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Sheba Medical Center · ILIsrael Ministry of Health · ILTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: A correlation between antibody levels and risk of infection has been demonstrated for the wild-type, Alpha, and Delta SARS-COV-2 variants. High rates of breakthrough infections by the Omicron variant emphasized the need to investigate whether the humoral response elicited by mRNA vaccines is also associated with reduced risk of Omicron infection and disease. Objective: To investigate whether the high antibody levels in individuals who have received at least 3 doses of an mRNA vaccine are associated with reduced risk of Omicron infection and disease. Design, Setting, and Participants: This prospective cohort study used serial real time-polymerase chain reaction (RT-PCR) and serological test data from January and May 2022 to assess the association of preinfection immunoglobin G (IgG) and neutralizing antibody titers with incidence of Omicron variant infection, incidence of symptomatic disease, and infectivity. Participants included health care workers who had received 3 or 4 doses of an mRNA COVID-19 vaccine. Data were analyzed from May to August 2022. Exposures: Levels of SARS-CoV-2 anti-receptor binding domain IgG and neutralizing antibodies. Main Outcomes and Measures: The main outcomes were incidence of Omicron infection, incidence of symptomatic disease, and infectivity. Outcomes were measured using SARS-COV-2 PCR and antigen testing and daily online surveys regarding symptomatic disease. Results: This study included 3 cohorts for 3 different analyses: 2310 participants were included in the protection from infection analysis (4689 exposure events; median [IQR] age, 50 [40-60] years; 3590 [76.6%] among female health care workers), 667 participants (median [IQR] age, 46.28 (37.44,54.8); 516 [77.4%] female) in the symptomatic disease analysis, and 532 participants (median [IQR] age, 48 [39-56] years; 403 [75.8%] female) in the infectivity analysis. Lower odds of infection were observed for each 10-fold increase in preinfection IgG (odds ratio [OR], 0.71; 95% CI, 0.56-0.90) and for each 2-fold increase in neutralizing antibody titers (OR, 0.89; 95% CI, 0.83-0.95). The odds of substantial symptomatic disease were reduced for each 10-fold increase in IgG levels (OR, 0.48; 95% CI, 0.29-0.78) and for each 2-fold increase in neutralizing antibodies levels (OR, 0.86; 95% CI, 0.76-0.96). Infectivity, assessed by mean cycle threshold value, was not significantly decreased with increasing IgG or neutralizing antibodies titers. Conclusions and Relevance: In this cohort study of vaccinated health care workers, IgG and neutralizing antibody titer levels were associated with protection against infection with the Omicron variant and against symptomatic disease.

Indexed as

COVID-19Antibodies, NeutralizingCohort StudiesCOVID-19 VaccinesFemaleHealth PersonnelHumansImmunoglobulin GIsraelMaleMiddle AgedProspective StudiesSARS-CoV-2Antibodies, NeutralizingCOVID-19 VaccinesImmunoglobulin G

Identifiers

PMID37219906
PMCPMC10208153
OpenAlexW4377564263

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.