Evidence map›Paper›PMID 38491929›Full record

ReviewCell transplantation

Applications of Engineered Skin Tissue for Cosmetic Component and Toxicology Detection.

Min Wang, Linfeng Zhang, Haojie Hao, Muyang Yan, Ziying Zhu

Open access · goldAbstract readReview
In one paragraph

Review in Cell transplantation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. TotalInternational journal of molecular sciences · 2025
    Article
  5. Review
  6. Article
  7. Guidelines for Manufacturing and Application of Organoids: Skin.International journal of stem cells · 2024
    Article
  8. Article
  9. 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

5 authors at 2 institutions in 1 country.

Min WangCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing, China.
Linfeng ZhangCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing, China.ORCID 0009-0002-7814-8964
Haojie HaoThe First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Muyang YanThe First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Ziying ZhuThe First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Chinese PLA General Hospital · CNBeijing Technology and Business University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scale of the cosmetic market is increasing every day. There are many safety risks to cosmetics, but they benefit people at the same time. The skin can become red, swollen, itchy, chronically toxic, and senescent due to the misuse of cosmetics, triggering skin injuries, with contact dermatitis being the most common. Therefore, there is an urgent need for a system that can scientifically and rationally detect the composition and perform a toxicological assessment of cosmetic products. Traditional detection methods rely on instrumentation and method selection, which are less sensitive and more complex to perform. Engineered skin tissue has emerged with the advent of tissue engineering technology as an emerging bioengineering technology. The ideal engineered skin tissue is the basis for building good

Indexed as

CosmeticsDermatitis, ContactHumansSkinTissue EngineeringTissue ScaffoldsCosmeticscosmetic components testingdrug screeningengineered skin tissueskin organoidstoxicological evaluation

Identifiers

PMID38491929
PMCPMC10944590
OpenAlexW4392890479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.