Evidence mapPaperPMID 41737633Full record

ReviewBioactive materials2026

Innovative strategies for diabetic peripheral neuropathy: From clinical management to emerging bioengineering solutions.

Zhi He, Jie Diao, Frederick G Hamel, Bin Duan

Abstract readReview
In one paragraph

Review in Bioactive materials, 2026. 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

4 authors.

Zhi HeMary and Dick Holland Regenerative Medicine Program, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Jie DiaoDepartment of Health Services Research & Administration, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Frederick G HamelDivision of Diabetes, Endocrinology and Metabolism, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Bin DuanMary and Dick Holland Regenerative Medicine Program, University of Nebraska Medical Center, Omaha, NE, 68198, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic peripheral neuropathy (DPN) is a common, incurable complication of diabetes that causes sensory loss, pain, and motor problems. Conventional treatments like blood glucose management, pain relief, and neuroprotective drugs have limited success and do not prevent disease progression. Advances in neurobiology, regenerative medicine, and bioengineering have led to novel therapies that target underlying mechanisms and promote regeneration. Monitoring and evaluating the onset and progression of DPN are essential for effective clinical management. Given rapid advances in understanding DPN and developing new treatments, a comprehensive review that covers clinical progress, molecular pathology techniques, and emerging bioengineering strategies is both timely and essential. This review addresses: (1) DPN pathophysiology; (2) drug therapies from clinical trials since 2020; (3) animal models used in DPN research; (4) progress and challenges in biomaterial-based drug delivery systems; (5) developments and limitations of microfluidic platforms for DPN modeling; and (6) bioengineered devices used for DPN diagnosis and monitoring. Integrating clinical insights, molecular techniques, and bioengineering innovations seeks to create a forward-looking framework for next-generation DPN treatment and management.

Indexed as

Animal modelsBioengineered devicesBiomaterial-based drug delivery systemsDiabetic peripheral neuropathyDrug therapiesMicrofluidic platforms

Identifiers

PMID41737633
PMCPMC12926992

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.