Evidence map›Paper›PMID 33424917›Full record

ReviewFrontiers in genetics2020

Milestones in Personalized Medicine: From the Ancient Time to Nowadays-the Provocation of COVID-19.

Sophie Visvikis-Siest, Danai Theodoridou, Maria-Spyridoula Kontoe, Satish Kumar, Michael Marschler

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  5. Precision cardiac electrophysiology: toward digital twins and beyond.Journal of precision medicine (Amsterdam, Netherlands) · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Digital twin for personalized medicine development.Frontiers in digital health · 2025
    Review
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  14. Article
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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

5 authors at 1 institution in 1 country.

Sophie Visvikis-SiestUniversité de Lorraine, IGE-PCV, Nancy, France.
Danai TheodoridouUniversité de Lorraine, IGE-PCV, Nancy, France.
Maria-Spyridoula KontoeUniversité de Lorraine, IGE-PCV, Nancy, France.
Satish KumarUniversité de Lorraine, IGE-PCV, Nancy, France.
Michael MarschlerUniversité de Lorraine, IGE-PCV, Nancy, France.
Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first evidence of individual targeting medicine appeared in ancient times thousands of years ago. Various therapeutic approaches have been established since then. However, even nowadays, conventional therapies do not take into consideration individuals' idiosyncrasy and genetic make-up, failing thus to be effective in some cases. Over time, the necessity of a more precise and effective treatment resulted in the development of a scientific field currently known as "personalized medicine." The numerous technological breakthroughs in this field have acknowledged personalized medicine as the next generation of diagnosis and treatment. Although personalized medicine has attracted a lot of attention the last years, there are still several obstacles hindering its application in clinical practice. These limitations have come to light recently, due to the COVID-19 pandemic. This review describes the "journey" of personalized medicine over time, emphasizing on important milestones achieved through time. Starting from the treatment of malaria, as a first more personalized therapeutic approach, it highlights the need of new diagnostic tools and therapeutic regimens based on individuals' genetic background. Furthermore, it aims at raising global awareness regarding the current limitations and the necessity of a personalized strategy to overpass healthcare problems and hence, the current crisis.

Indexed as

COVID−19inflammationpersonalized medicinepharmacogenomicspublic health

Identifiers

PMID33424917
PMCPMC7794000
OpenAlexW3108992919

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.