Evidence map›Paper›PMID 37994839›Full record

SynthesisJournal of global health2023

Incidence and outcome of SARS-CoV-2 reinfection in the pre-Omicron era: A global systematic review and meta-analysis.

Nabihah Farhana Ismail, Ahmed Ehsanur Rahman, Durga Kulkarni, Fuyu Zhu, Xin Wang, Graciela Del Carmen Morales, Amit Srivastava, Kristen E Allen, Julia Spinardi, Moe H Kyaw and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of global health, 2023. 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
1.6field-weighted citation impact, top 17% 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, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. SARS-CoV-2 reinfection rate before and after VOC Omicron emergence: a retrospective study in Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    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

11 authors at 4 institutions in 5 countries.

Nabihah Farhana Ismail *Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom.
Ahmed Ehsanur Rahman *Centre for Global Health, University of Edinburgh, Edinburgh, United Kingdom.
Durga KulkarniCentre for Global Health, University of Edinburgh, Edinburgh, United Kingdom.
Fuyu ZhuSchool of Public Health, Nanjing Medical University, Jiangsu, China.
Xin WangCentre for Global Health, University of Edinburgh, Edinburgh, United Kingdom.
Graciela Del Carmen MoralesPfizer, Vaccines, Emerging Markets.
Amit SrivastavaPfizer, Vaccines, Emerging Markets.
Kristen E AllenPfizer, Vaccines, Emerging Markets.
Julia SpinardiPfizer, Vaccines, Emerging Markets.
Moe H KyawPfizer, Vaccines, Emerging Markets.
Harish NairCentre for Global Health, University of Edinburgh, Edinburgh, United Kingdom.
Pfizer (United States) · USUniversity of Edinburgh · GBNanjing Medical University · CNUniversity of the Witwatersrand · ZA

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: With the emergence of new variants and sub-lineages of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), reinfections can significantly impact herd immunity, vaccination policies, and decisions on other public health measures. We conducted a systematic review and meta-analysis to synthesise the global evidence on SARS-CoV-2 reinfections in the pre-Omicron era. Methods: We searched five global databases (MEDLINE, Embase, CINAHL Plus, Global Health, WHO COVID-19) on 12 May 2022 and 28 July 2023 and three Chinese databases (CNKI, Wanfang, CQvip) on 16 October 2022 for articles reporting incidence and outcomes of SARS-CoV-2 reinfection before the period of Omicron (B.1.1.529) predominance. We assessed risk of bias using Joanna Briggs Institute critical appraisal tools and conducted meta-analyses with random effects models to estimate the proportion of SARS-CoV-2 reinfection among initially infected cases and hospitalisation and mortality proportions among reinfected ones. Results: We identified 7593 studies and extracted data from 64 included ones representing 21 countries. The proportion of SARS-CoV-2 reinfection was 1.16% (95% confidence interval (CI) = 1.01-1.33) based on 11 639 247 initially infected cases, with ≥45 days between the two infections. Healthcare providers (2.28%; 95% CI = 1.37-3.40) had a significantly higher risk of reinfection than the general population (1.00%; 95% CI = 0.81-1.20), while young adults aged 18 to 35 years (1.01%; 95% CI = 0.8-1.25) had a higher reinfection burden than other age groups (children <18 years old: 0.57%; 95% CI = 0.39-0.79, older adults aged 36-65 years old: 0.53%; 95% CI = 0.41-0.65, elderly >65 years old: 0.37%; 95% CI = 0.15-0.66). Among the reinfected cases, 8.12% (95% CI = 5.30-11.39) were hospitalised, 1.31% (95% CI = 0.29-2.83) were admitted to the intensive care unit, and 0.71% (95% CI = 0.02-2.01) died. Conclusions: Our data suggest a relatively low risk of SARS-CoV-2 reinfection in the pre-Omicron era, but the risk of hospitalisation was relatively high among the reinfected cases. Considering the possibility of underdiagnosis, the reinfection burden may be underestimated. Registration: PROSPERO: CRD42023449712.

Indexed as

COVID-19ReinfectionAdolescentAdultAgedChildHumansIncidenceMiddle AgedSARS-CoV-2Young Adult

Identifiers

PMID37994839
PMCPMC10667793
OpenAlexW4388946061

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.