Evidence map›Paper›PMID 35150184›Full record

Trial reportJournal of cosmetic dermatology2023

Protective effects of a day/night dual-antioxidant serum on skin: A randomized, regimen-controlled study in Chinese women exposed to air pollution.

Wei Liu, Liyun Jie, Dan Liu, Elizabeth T Makino, Jean Krutmann, Rahul C Mehta

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of cosmetic dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Review
  3. 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

6 authors at 4 institutions in 3 countries.

Wei LiuDepartment of Dermatology, General Hospital of Air Force, Beijing, China.
Liyun JieDepartment of Dermatology, The First People's Hospital of Bijie, Guizhou, China.
Dan LiuAir Force Medical Center, Beijing, China.
Elizabeth T MakinoAllergan Aesthetics, an AbbVie Company, Irvine, CA, USA.ORCID https://orcid.org/0000-0002-6243-861X
Jean KrutmannIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany.ORCID https://orcid.org/0000-0001-8433-1517
Rahul C MehtaAllergan Aesthetics, an AbbVie Company, Irvine, CA, USA.ORCID https://orcid.org/0000-0002-7613-5847
AbbVie (United States) · USAir Force General Hospital PLA · CNLeibniz Institute of Environmental Medicine · DEThe First People's Hospital of Guiyang · CN

Funding

Allergan Aesthetics
6 · The paper itself

Abstract

backgroundChronic exposure to air pollution can negatively affect skin health.

aimsTo assess the efficacy of the LUMIVIVE PATIENTS/

methodsIn this single-center, vehicle-controlled study, eligible females (mean age, 49.02 years) were randomized 1:1 to treatment group (LVS plus basic moisturizer) or control group (basic moisturizer). Skin color, sebum content, barrier function, elasticity, and texture were measured at baseline and at each follow-up visit (days 28, 56, and 84). Air pollution parameters were collected throughout the study.

resultsAir pollution levels, including PM

conclusionsThe current analysis demonstrates the efficacy of LVS plus basic moisturizer compared with basic moisturizer alone to reduce skin pigmentation and redness, as well as to mitigate sebum production, in Chinese women exposed to air pollution.

Indexed as

Air PollutionAntioxidantsEast Asian PeopleErythemaFemaleHumansMiddle AgedSkinSkin Physiological PhenomenaAntioxidantscosmeticsenvironmental exposureskin care

Identifiers

PMID35150184
PMCPMC10078722
OpenAlexW4210978393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.