Evidence map›Paper›PMID 41210507›Full record

ReviewFrontiers in endocrinology2025

Progress in the clinical application of allogeneic platelet-rich plasma for diabetic foot treatment.

Huijuan Qin, Hui Yang, Jing Wang, Dong Jiang, Yinchen Chen, Wei Wang, Aiping Wang

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. 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
  2. Review
  3. Article
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

7 authors.

Huijuan QinDepartment of Endocrinology, Nanjing Junxie Hospital, Nanjing, China.
Hui YangDepartment of Endocrinology, Nanjing Junxie Hospital, Nanjing, China.
Jing WangDepartment of Endocrinology, Nanjing Junxie Hospital, Nanjing, China.
Dong JiangDepartment of Endocrinology, Nanjing Junxie Hospital, Nanjing, China.
Yinchen ChenDepartment of Endocrinology, Nanjing Junxie Hospital, Nanjing, China.
Wei WangDepartment of Endocrinology, Nanjing Junxie Hospital, Nanjing, China.
Aiping WangDepartment of Endocrinology, Nanjing Junxie Hospital, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to peripheral neuropathy and varying degrees of vascular disease, patients with diabetes often suffer from foot ulcers that are challenging to heal and may even progress to gangrene. In recent years, autologous platelet rich plasma (au-PRP) gel has been widely used in the treatment of chronic ulcers, including diabetes foot. However, its limitations have become increasingly evident, such as difficulties in collecting sufficient blood from patients, deficiencies in platelet count and/or function among individuals with diabetes, and high costs associated with individually required equipment. Allogeneic platelet rich plasma (al-PRP) offers similar anti-inflammatory, anti-infective, and growth promoting effects while addressing these drawbacks. Notably, al-PRP can be mass-produced into ready-to-use products, simplifying clinical applications and significantly reducing costs. This article conducted a comprehensive analysis of the application mechanism, necessity, effectiveness and safety, preparation and application methods of al-PRP in the treatment of diabetic foot ulcers, it showed that al-PRP has a promising application prospect in the treatment of diabetic foot.

Indexed as

Diabetic FootPlatelet-Rich PlasmaHumansTransplantation, HomologousWound Healingallogeneic platelet-rich plasmaautologous platelet-rich plasmachronic wounddiabetes mellitusdiabetic foot

Identifiers

PMID41210507
PMCPMC12591975

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.