Evidence map›Paper›PMID 40462225›Full record

Trial reportStem cell research & therapy2025

Efficacy and safety of epidermal cell regeneration for postoperative non-healing wounds: a randomized, partially blinded, parallel-controlled trial.

Xiaohui Li, Honglin Wu, Hao Yang, Peng Wang, Xiaoling Cao, Peng Wang, Yongfei Chen, Yuxi Zhou, Shuting Li, Zhicheng Hu and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Stem cell research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Xiaohui Li *Department of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Honglin Wu *Department of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Hao Yang *Department of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Peng WangDepartment of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Xiaoling CaoDepartment of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Peng WangDepartment of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Yongfei ChenDepartment of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Yuxi ZhouDepartment of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China.
Shuting LiDepartment of Plastic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Zhicheng HuDepartment of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China. huzhch5@mail.sysu.edu.cn.
Jiayuan ZhuDepartment of Burn and Wound Repair Surgery, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, China. zhujiay@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-1501-6999

Funding

National Natural Science Foundation of China 82072180
6 · The paper itself

Abstract

backgroundDelayed or nonhealing wounds following surgery present a significant clinical challenge. Autologous epidermal cell regeneration technology has shown promise in enhancing wound healing. This study aimed to evaluate its efficacy in treating postoperative nonhealing wounds.

methodsThis randomized, controlled trial involved 151 patients with nonhealing postoperative wounds, randomly assigned to two groups: the experimental group (n = 75) received standard treatments combined with autologous epidermal cell regeneration technology, and the control group (n = 76) received standard treatments alone. The primary endpoint was wound healing at 3 weeks. Key secondary endpoints included time to complete healing and recurrence rate. Statistical tests were performed to determine the significance of differences between groups. The study was registered with UMIN-CTR (UMIN000056733).

resultsIn the intention-to-treat population, significantly more patients in the experimental group achieved the primary endpoint at week 3 (66 of 75 [88.0%] vs. 51 of 76 [67.1%]; difference 20.9%, 97.5% CI: 0.0802, 0.3377; p = 0.004). Similar results were observed in the modified intention-to-treat population (62 of 71 [87.3%] vs. 47 of 73 [64.4.1%]; difference 22.9%, 97.5% CI: 0.0950, 0.3638; p = 0.003). These results were confirmed in the per-protocol population (61 of 68 [89.7%] vs. 47 of 69 [68.1%]; difference 21.6%, 97.5% CI: 0.0843, 0.3475, p = 0.004). In the safety analysis, 24.7% of the experimental group vs. 60.3% of the control group experienced treatment-emergent adverse events. The most common treatment-emergent adverse events were wound exudate and dehiscence, with no deaths or carcinogenicity reported.

conclusionAutologous epidermal cell regeneration technology is an effective and safe treatment for postoperative nonhealing wounds.

Indexed as

Epidermal CellsRegenerationWound HealingAdultAgedFemaleHumansMaleMiddle AgedAutologous epidermal cellsEpidermal stem cellsPostoperative non-healing wound; postoperative complicationsWound healing

Identifiers

PMID40462225
PMCPMC12135540

What OpenQuestion holds

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Registered trials

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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.