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Record W4408551590 · doi:10.3390/medicina61030529

Effect of Autologous Skin Cell Suspensions Versus Standard Treatment on Re-Epithelialization in Burn Injuries: A Meta-Analysis of RCTs

2025· review· en· W4408551590 on OpenAlexaboutno aff
Faisal M. Obeid

Bibliographic record

VenueMedicina · 2025
Typereview
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
FundersAl-Imam Muhammad Ibn Saud Islamic UniversityImam Mohammed Ibn Saud Islamic University
KeywordsMedicineMeta-analysisWeb of scienceRandomized controlled trialSurgeryPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Background and Objectives: Burn injuries, particularly partial-thickness burns, often require advanced therapies to improve re-epithelialization and scar quality. This study aims to evaluate the efficacy of autologous skin cell suspensions, such as Recell, compared to standard treatments in promoting faster and better-quality skin healing. Our goal is to provide evidence-based conclusions on the effectiveness of these regenerative approaches in burn treatment. Materials and Methods: During our comprehensive investigation, we systematically examined several databases for the period to November 2024, including PubMed, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials. Our primary objective was to assess the efficacy of autologous cell suspension in treatment for burn injuries. We employed the ROB2 method to assess the quality of evidence to ensure the validity of the conclusions derived from these studies. The gathered data were systematically organized in a standardized online format and analyzed with RevMan 5.4. Results: Our systematic literature search identified nine studies (n = 358 patients) evaluating the efficacy of autologous skin cell suspensions in promoting re-epithelialization in burn injuries. The meta-analysis revealed a statistically significant reduction in time to re-epithelialization in the autologous skin cell suspension group compared to the control group (MD = −1.71 days, 95% CI [−2.73, −0.70], p = 0.001), with moderate heterogeneity among the studies (I2 = 58%). However, no significant differences were found in secondary outcomes, including postoperative pain (SMD = −0.71, 95% CI [−2.42, 1.00], p = 0.42), POSAS scores (MD = −0.35, 95% CI [−2.12, 1.42], p = 0.69), Vancouver Scar Scale (MD = −0.76, 95% CI [−2.86, 1.33], p = 0.48), or the incidence of complete healing by the 4th week (RR = 0.98, 95% CI [0.94, 1.02], p = 0.24). Similarly, no significant differences were found in postoperative infection rates (RR = 0.85, 95% CI [0.28, 2.60], p = 0.78) or the need for further interventions (RR = 0.15, 95% CI [0.02, 1.16], p = 0.07). Conclusions: autologous skin cell suspension significantly reduces the time to re-epithelialization in burn injuries compared to standard treatments. However, no significant differences were found in secondary outcomes, such as postoperative pain, scar quality (POSAS, Vancouver Scar Scale), complete healing rates, infection rates, or the need for additional interventions. While autologous skin cell suspension shows promise in accelerating re-epithelialization, it does not provide significant advantages over conventional methods in other clinical aspects. The results underscore the need for further research with larger, more robust studies to assess the long-term benefits of autologous skin cell suspension in burns carefully.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.054
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0240.069
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.434
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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