Evidence map›Paper›PMID 38727846›Full record

ArticleAesthetic plastic surgery2024

Static and Dynamic Filler-Associated Tear Trough Deformities: Manifestations and Treatment Algorithm.

Yuanbo Kang, Sifan Wang, Zenan Xia, Xinran Zhang, Nanze Yu, Zhifei Liu, Xiaojun Wang, Xiao Long, Lin Zhu

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Article in Aesthetic plastic surgery, 2024. 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
–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

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yuanbo KangDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China.
Sifan WangPeking Union Medical College, Chinese Academy of Medical Sciences, Dongdan Santiao 9#, Dongcheng District, Beijing, 100730, People's Republic of China.
Zenan XiaDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China.
Xinran ZhangDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China.
Nanze YuDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China.
Zhifei LiuDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China.
Xiaojun WangDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China.
Xiao LongDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China.
Lin ZhuDepartment of Plastic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Shuaifuyuan 1#, Dongcheng District, Beijing, 100730, People's Republic of China. pumchzhulin@126.com.

Funding

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-041
6 · The paper itself

Abstract

backgroundFillers are popular substances for the correction of tear trough deformity. Despite well-documented complications increasing gradually, standardized treatment algorithm for deformity secondary to improper injection is still limited.

methodsBetween April 2020 and April 2023, a total of 22 patients with filler-associated tear trough deformity with static bulges or dynamic swells after injection of tear trough were enrolled. For patients who received hyaluronic acid (HA) and unknown fillers, hyaluronidase dissolution was performed. For patients who received non-HA fillers and unknown fillers that failed to dissolve, a magnetic resonance imaging (MRI) examination was conducted. Surgical approaches were selected based on the filler distribution and the condition of the lower eyelid. Ligament releasement and fat transposition were accomplished when fillers were excised. Aesthetic outcomes were evaluated by double-blind examiners using the Global Aesthetic Improvement Scale after patients were followed up.

resultsIn total, the study included 3 patients with simple static deformities, 1 patient with simple dynamic, and 18 patients with both. Fourteen patients underwent transconjunctival surgery and 8 patients underwent transcutaneous surgery, among which 18 patients underwent hyaluronidase dissolution and 8 patients underwent MRI prior to surgery. A total of 4 patients with self-limited complications recovered after conservative treatment. 90.9% of patients expressed satisfaction or high satisfaction with the treatment results.

conclusionFiller-associated tear trough deformities could be classified into static and dynamic deformities, which could appear separately or simultaneously. Treatment of deformities should be based on characteristics of fillers, in which MRI could serve as a promising tool. LEVEL OF EVIDENCE IV: 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

AlgorithmsDermal FillersHyaluronic AcidAdultBlepharoplastyCosmetic TechniquesEstheticsFemaleHumansHyaluronoglucosaminidaseMaleMiddle AgedRetrospective StudiesTreatment OutcomeDermal FillersHyaluronic AcidHyaluronoglucosaminidaseFillerSurgical approachTear trough deformityTreatment algorithm

Identifiers

PMID38727846

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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.