Evidence map›Paper›PMID 39496964›Full record

ArticleAesthetic plastic surgery2025

Facial Rejuvenation Strategy in Asian Women with Autologous Fat Transplantation.

Jianhui Zhao, Chen Chen, Xiao Dong Lan, Xiao Qin, Dan Li, Yan Zheng

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Article in Aesthetic plastic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Jianhui Zhao *Department of Critical Care Medicine, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.ORCID 0000-0003-4023-2191
Chen Chen *Department of Burn and Plastic Surgery, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.ORCID 0000-0002-7886-4621
Xiao Dong LanDepartment of Burn and Plastic Surgery, Chengdu Second People's Hospital, Chengdu, China.
Xiao QinDepartment of Medical Plastic and Cosmetic Surgery, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China.
Dan LiDepartment of Medical Plastic and Cosmetic Surgery, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China.
Yan ZhengDepartment of Medical Plastic and Cosmetic Surgery, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, China. piaopiao-426@163.com.ORCID 0009-0002-9593-2080

Funding

Hainan Provincial Natural Science Foundation of China 824MS173
6 · The paper itself

Abstract

objectiveTo explore the clinical strategy of autologous fat transplantation in facial rejuvenation.

methodsFrom September 2016 to May 2023, 2715 female patients with facial filling by autologous fat were retrospectively analysed. After treatment, they were followed up for 3-6 months to summarize the relationship between aesthetic design and treatment outcomes.

resultsIn total, 2306 patients were followed up and completed the questionnaires of satisfactory. Most patients (97%, 2237 cases) achieved satisfactory results after one operation, and about 3% (69 cases) achieved satisfactory results after secondary filling.

conclusionAutologous fat granule transplantation in the treatment of facial rejuvenation can achieve an excellent therapeutic outcome. Customized design according to the different lineaments, age, and other factors, and extensive use of various treatment methods can achieve better results. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Adipose TissueRejuvenationRhytidoplastySkin AgingAdultAsian PeopleEstheticsFaceFemaleFollow-Up StudiesHumansMiddle AgedPatient SatisfactionRetrospective StudiesTransplantation, AutologousTreatment OutcomeAesthetic designAutologous fat transplantationCollagen fibres in subcutaneous fat (CFSF)Lineament reconstructionRejuvenation

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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.