Evidence map›Paper›PMID 37130503›Full record

ArticleEmerging infectious diseases2023

Early SARS-CoV-2 Reinfections Involving the Same or Different Genomic Lineages, Spain.

Cristina Rodríguez-Grande, Agustín Estévez, Rosalía Palomino-Cabrera, Andrea Molero-Salinas, Daniel Peñas-Utrilla, Marta Herranz, Amadeo Sanz-Pérez, Luis Alcalá, Cristina Veintimilla, Pilar Catalán and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

16 authors.

Cristina Rodríguez-Grande
Agustín Estévez
Rosalía Palomino-Cabrera
Andrea Molero-Salinas
Daniel Peñas-Utrilla
Marta Herranz
Amadeo Sanz-Pérez
Luis Alcalá
Cristina Veintimilla
Pilar Catalán
Carolina Martínez-Laperche
Roberto Alonso
Patricia Muñoz
Laura Pérez-Lago
Darío García de Viedma
Gregorio Marañón Microbiology-ID COVID 19 Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Centers for Disease Control and Prevention guidelines consider SARS-CoV-2 reinfection when sequential COVID-19 episodes occur >90 days apart. However, genomic diversity acquired over recent COVID-19 waves could mean previous infection provides insufficient cross-protection. We used genomic analysis to assess the percentage of early reinfections in a sample of 26 patients with 2 COVID-19 episodes separated by 20-45 days. Among sampled patients, 11 (42%) had reinfections involving different SARS-CoV-2 variants or subvariants. Another 4 cases were probable reinfections; 3 involved different strains from the same lineage or sublineage. Host genomic analysis confirmed the 2 sequential specimens belonged to the same patient. Among all reinfections, 36.4% involved non-Omicron, then Omicron lineages. Early reinfections showed no specific clinical patterns; 45% were among unvaccinated or incompletely vaccinated persons, 27% were among persons <18 years of age, and 64% of patients had no risk factors. Time between sequential positive SARS-CoV-2 PCRs to consider reinfection should be re-evaluated.

Indexed as

COVID-19ReinfectionGenomicsHumansRisk FactorsSARS-CoV-2SpainUnited Statescoronaviruscoronavirus diseaseCOVID-19respiratory infectionsSARSSARS-CoV-2severe acute respiratory syndrome coronavirus 2Spainviruseszoonoses

Identifiers

PMID37130503
PMCPMC10202887
OpenAlexW4367834213

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.