Evidence map›Paper›PMID 34073493›Full record

ReviewJournal of personalized medicine2021

Implementing Personalized Medicine in COVID-19 in Andalusia: An Opportunity to Transform the Healthcare System.

Joaquín Dopazo, Douglas Maya-Miles, Federico García, Nicola Lorusso, Miguel Ángel Calleja, María Jesús Pareja, José López-Miranda, Jesús Rodríguez-Baño, Javier Padillo, Isaac Túnez and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Advances in laboratory medicine · 2025
    Article
  3. Article
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  7. Review
  8. Review
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  11. Review
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  15. Review
  16. Article
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  18. Personalized Medicine in Epidemics.Journal of personalized medicine · 2022
    Article
  19. A contemporary review on the important role ofInformatics in medicine unlocked · 2022
    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

11 authors at 8 institutions in 1 country.

Joaquín DopazoGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.ORCID 0000-0003-3318-120X
Douglas Maya-MilesInstituto de Biomedicina de Sevilla (HUVR/HUVM/CSIC/US), 41013 Sevilla, Spain.
Federico GarcíaGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.ORCID 0000-0001-7611-781X
Nicola LorussoGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.ORCID 0000-0003-2829-2546
Miguel Ángel CallejaGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.
María Jesús ParejaGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.
José López-MirandaGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.
Jesús Rodríguez-BañoGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.
Javier PadilloGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.
Isaac TúnezGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.
Manuel Romero-GómezGT MP Covid-19. SGIDIS, Consejería de Salud y Familias, Junta de Andalucía, Spain.ORCID 0000-0001-8494-8947
Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas · ESHospital Universitario Virgen Macarena · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ESConsejería de Salud y Consumo · ESFundación Progreso y Salud · ESHospital Universitario de Valme · ESInstituto de Biomedicina de Sevilla · ESInstituto de Investigación Biosanitaria de Granada · ES

Funding

Consejeria de Salud y Familias, Junta de Andalucía PE-0451-2018Consejeria de Salud y Familias, Junta de Andalucía Premed Covid y COVID-GWAs
6 · The paper itself

Abstract

The COVID-19 pandemic represents an unprecedented opportunity to exploit the advantages of personalized medicine for the prevention, diagnosis, treatment, surveillance and management of a new challenge in public health. COVID-19 infection is highly variable, ranging from asymptomatic infections to severe, life-threatening manifestations. Personalized medicine can play a key role in elucidating individual susceptibility to the infection as well as inter-individual variability in clinical course, prognosis and response to treatment. Integrating personalized medicine into clinical practice can also transform health care by enabling the design of preventive and therapeutic strategies tailored to individual profiles, improving the detection of outbreaks or defining transmission patterns at an increasingly local level. SARS-CoV2 genome sequencing, together with the assessment of specific patient genetic variants, will support clinical decision-makers and ultimately better ways to fight this disease. Additionally, it would facilitate a better stratification and selection of patients for clinical trials, thus increasing the likelihood of obtaining positive results. Lastly, defining a national strategy to implement in clinical practice all available tools of personalized medicine in COVID-19 could be challenging but linked to a positive transformation of the health care system. In this review, we provide an update of the achievements, promises, and challenges of personalized medicine in the fight against COVID-19 from susceptibility to natural history and response to therapy, as well as from surveillance to control measures and vaccination. We also discuss strategies to facilitate the adoption of this new paradigm for medical and public health measures during and after the pandemic in health care systems.

Indexed as

Covid-19epidemiologyhost geneticspersonalized medicineprecision medicineSARS CoV2viral genome

Identifiers

PMID34073493
PMCPMC8226500
OpenAlexW3164797980

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.