Evidence map›Paper›PMID 42137620›Full record

SynthesisFrontiers in bioengineering and biotechnology2026

Comparative efficacy of advanced therapeutic modalities for diabetic foot ulcers: a systematic review and meta-analysis including NPWT, stem cells, ESWT, and bioengineered treatments.

Xiaofang Guan, Guangyong Zhu, Haowei Jiang, Bo Wang, Jiaxin Cheng

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in bioengineering and biotechnology, 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

5 authors.

Xiaofang GuanHand and Foot Surgery, The First People's Hospital of Xiaoshan District, Xiaoshan, China.
Guangyong ZhuDepartment of Orthopedics, Hangzhou Hospital of Zhejiang Medical Health Group, Hangzhou, China.
Haowei JiangHand and Foot Surgery, The First People's Hospital of Xiaoshan District, Xiaoshan, China.
Bo WangHand and Foot Surgery, The First People's Hospital of Xiaoshan District, Xiaoshan, China.
Jiaxin ChengHand and Foot Surgery, The First People's Hospital of Xiaoshan District, Xiaoshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic foot ulcers (DFUs) are highly debilitating and often necessitate cutting-edge treatments apart from the usual care. This systematic review and meta-analysis have compared the efficacy of Negative Pressure Wound Therapy (NPWT)/VAC, cell-based therapies (MSC-based therapies), artificial skin, extracorporeal shockwave therapy (ESWT), and platelet-rich plasma (PRP) interventions in promoting healing of difficult wounds, as well as healing by other means. Methods: The extensive search identified 49 randomized controlled trials. For data analysis, a random-effects model with inverse-variance weighting was used to obtain standardized mean differences (SMDs) with 95% confidence intervals (CIs). The presence of publication bias was determined using funnel plots and Egger's test, while the quality of the studies was assessed by means of Jadad scores and risk of bias tools. GRADE was employed to assess the certainty of the evidence. Results: Sub-group analysis revealed that NPWT significantly accelerated wound closure compared to standard care SMD of -0.39 (95% CI: 0.57 to -0.21; I Conclusion: The NPWT and MSC-based therapy, in particular, represent major improvements in healing outcomes for diabetic foot ulcers (DFUs) and in the speed of closure compared with standard treatment.

Indexed as

DFUdiabetic foot ulcersexosomesextracorporeal shockwave therapymesenchymal stem cellsMScnegative pressure wound therapyNpwt

Identifiers

PMID42137620
PMCPMC13167936

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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.