Evidence map›Paper›PMID 40631458›Full record

ReviewDiabetes & metabolism journal2025

Clinical Phenotypes of Diabetic Peripheral Neuropathy: Implications for Phenotypic-Based Therapeutics Strategies.

Jie-Eun Lee, Jong Chul Won

Abstract readReview
In one paragraph

Review in Diabetes & metabolism journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Jie-Eun LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, Korea.
Jong Chul WonDivision of Endocrinology and Metabolism, Department of Internal Medicine, Gimpo Woori Hospital, Gimpo, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic peripheral neuropathy (DPN) is a common complication of diabetes mellitus that encompasses a heterogeneous group of conditions with diverse clinical manifestations. Despite its prevalence, no universally established classification or treatment approach is currently available. Recent findings have underscored the role of systemic inflammation, oxidative stress, and neurochemical imbalances in shaping DPN phenotypes, emphasizing the need for phenotype-specific diagnostic and therapeutic approaches. Advanced diagnostic techniques, including magnetic resonance imaging-based neuroimaging and quantitative sensory testing, are emerging as tools for phenotypic characterization. Therapeutic interventions are moving toward precision medicine, with targeted pharmacological and non-pharmacological strategies tailored to specific clinical presentations. Innovations such as digital health platforms, regenerative therapies, and combinatorial pharmacotherapy are promising for addressing primary neuropathic pain and its associated complications. This review synthesizes the current evidence on DPN phenotypes (painful, painless, and mixed forms), their underlying pathophysiological mechanisms, and the efficacy of treatment approaches. A framework for optimizing management strategies is also proposed. By leveraging novel insights into sensory phenotypes and treatment responsiveness, clinicians can adopt DPN phenotype-based treatment models to optimize patient care, improve treatment outcomes, reduce the substantial disease burden, and enhance patient quality of life.

Indexed as

Diabetic NeuropathiesHumansNeuralgiaPhenotypePrecision MedicineDiabetes complicationsDiabetic neuropathiesNeuralgiaPhenotypePrecision medicine

Identifiers

PMID40631458
PMCPMC12270570

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.