Evidence map›Paper›PMID 42027913›Full record

ArticleFrontiers in public health2026

From laboratory to real-world exposure: correlating cosmetic patch test results with large-scale consumer safety data from e-commerce platforms.

Kai Yang, Qin Zhang, Dangdang Cheng, Feifei Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kai YangShanghai Jiyan Biomedical Development Co., Ltd., Shanghai, China.
Qin ZhangShanghai Jiyan Biomedical Development Co., Ltd., Shanghai, China.
Dangdang ChengShanghai Jiyan Biomedical Development Co., Ltd., Shanghai, China.
Feifei WangYunnan Botanee Bio-technology Group Co., Ltd., Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Limited research exists on revealing the correlation between laboratory safety tests and real-world safety feedback from consumers of cosmetics. Objective: To establish cosmetovigilance by associating patch test results with consumer-reported adverse reaction (CRARs) feedback form e-commerce feedback for cosmetics targeting sensitive skin. Methods: Patch tests were performed on a cohort of sensitive-skin cosmetics, and CRARs were extracted from e-commerce comments. A generalized linear model was utilized to analyze the association between patch test results and CRARs, considering functional claims and application modes. Results: Among the patch test results of 64 cosmetics, 42 exhibited negative reactions, 21 showed doubtful reactions, and one cosmetic demonstrated a weak positive reaction. The model established with a warning threshold of two doubtful reactions proved to be optimal. Patch test results were associated with sensitization-related and pain-related CRARs, but not with acnegenic-related CRARs. Brightening and acne treatment cosmetics exhibited higher acnegenic and pain rates, while leave-on cosmetics had a higher sensitization rate. Conclusion: The data-driven results show that cosmetics with 2 or more doubtful reactions in patch test have a significantly correlation with real-world CRARs, which reminds relevant practitioners to be more cautious about doubtful reactions in patch test.

Indexed as

Consumer Product SafetyCosmeticsPatch TestsHumansCosmeticsadverse reactioncosmeticscosmetovigilancepatch testsensitive skin

Identifiers

PMID42027913
PMCPMC13100906

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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.