Evidence map›Paper›PMID 38966699›Full record

SynthesisFrontiers in public health2024

Protective effectiveness of previous infection against subsequent SARS-Cov-2 infection: systematic review and meta-analysis.

Wei-Hua Hu, Huan-Le Cai, Huan-Chang Yan, Han Wang, Hui-Min Sun, Yong-Yue Wei, Yuan-Tao Hao

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Review
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  8. Review
  9. 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

7 authors.

Wei-Hua HuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Huan-Le CaiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Huan-Chang YanDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Han WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Hui-Min SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yong-Yue WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuan-Tao HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The protective effectiveness provided by naturally acquired immunity against SARS-CoV-2 reinfection remain controversial. Objective: To systematically evaluate the protective effect of natural immunity against subsequent SARS-CoV-2 infection with different variants. Methods: We searched for related studies published in seven databases before March 5, 2023. Eligible studies included in the analysis reported the risk of subsequent infection for groups with or without a prior SARS-CoV-2 infection. The primary outcome was the overall pooled incidence rate ratio ( Results: We identified 40 eligible articles including more than 20 million individuals without the history of SARS-CoV-2 vaccination. The bias-adjusted efficacy of naturally acquired antibodies against reinfection was estimated at 65% (pooled Conclusion: Previous SARS-CoV-2 infection provides protection against pre-omicron reinfection, but less against omicron. Ongoing viral mutation requires attention and prevention strategies, such as vaccine catch-up, in conjunction with multiple factors.

Indexed as

COVID-19ReinfectionSARS-CoV-2HumansImmunity, Innatenaturally infectionprotective effectivenessreinfectionSARS-CoV-2variant

Identifiers

PMID38966699
PMCPMC11222391

What OpenQuestion holds

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LicenceCC BY
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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.