Evidence map›Paper›PMID 37763073›Full record

ArticleJournal of personalized medicine2023

Genetical Signature-An Example of a Personalized Skin Aging Investigation with Possible Implementation in Clinical Practice.

Ramune Sepetiene, Vaiva Patamsyte, Paulius Valiukevicius, Emilija Gecyte, Vilius Skipskis, Dovydas Gecys, Zita Stanioniene, Svajunas Barakauskas

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 2 countries.

Ramune SepetieneLaboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania.ORCID 0000-0002-8936-258X
Vaiva PatamsyteLaboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania.
Paulius ValiukeviciusFaculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus 9, LT-44307 Kaunas, Lithuania.
Emilija GecyteLaboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania.
Vilius SkipskisLaboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania.
Dovydas GecysLaboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania.ORCID 0000-0002-2056-7528
Zita StanionieneLaboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50162 Kaunas, Lithuania.
Svajunas BarakauskasLTD Medicina Practica Laboratorija, Laisves Pr. 78B, LT-05263 Vilnius, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

Lithuanian Business Support Agency S-J05-LVPA-k-04-0127
6 · The paper itself

Abstract

We conducted a research study to create the groundwork for personalized solutions within a skin aging segment. This test utilizes genetic and general laboratory data to predict individual susceptibility to weak skin characteristics, leveraging the research on genetic polymorphisms related to skin functional properties. A cross-sectional study was conducted in a collaboration between the Private Clinic Medicina Practica Laboratory (Vilnius, Lithuania) and the Public Institution Lithuanian University of Health Sciences (Kaunas, Lithuania). A total of 370 participants agreed to participate in the project. The median age of the respondents was 40, with a range of 19 to 74 years. After the literature search, we selected 15 polymorphisms of the genes related to skin aging, which were subsequently categorized in terms of different skin functions:

Indexed as

laboratory analysispersonalized medicinepolymorphismsskin aging

Identifiers

PMID37763073
PMCPMC10532532
OpenAlexW4386222920

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.