Evidence map›Paper›PMID 42861155›Full record

ReviewJournal of pain research2026

Diabetic Neuropathic Pain Models: Current Limitations and Future Directions.

Lijun Hao

Abstract readReview
In one paragraph

Review in Journal of pain research, 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

1 author.

Lijun HaoDepartment of Pain Medicine, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, 030012, People's Republic of China.ORCID 0009-0006-3085-0235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic neuropathic pain (DNP) is a disabling complication of diabetes, yet pain develops only in a subset of patients with diabetic neuropathy. Current animal models can reproduce hyperglycemia and many structural, electrophysiological, and metabolic features of diabetic neuropathy, but pain-related phenotypes vary considerably across studies. This variability may arise from methodological differences in model induction, experimental conditions, and behavioral assessment, but may also reflect biologically meaningful heterogeneity analogous to the painful and painless phenotypes observed clinically. This narrative review critically examines the strengths and limitations of commonly used streptozotocin (STZ), genetic, and high-fat diet/STZ models, with particular attention to variability in pain-related phenotypes and its implications for model interpretation. Species, strain, sex, disease duration, metabolic severity, model induction, and behavioral methodology may all contribute to differences among studies. On the basis of this synthesis, we suggest that future studies distinguish methodological variability from biological heterogeneity and use more consistent reporting, longitudinal assessment, and complementary measures of neuropathy to improve interpretation and clinical relevance.

Indexed as

animal modelsdiabetic neuropathic painneuropathyphenotypic heterogeneityreproducibilitytranslational validity

Identifiers

PMID42861155
PMCPMC13654264

What OpenQuestion holds

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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 OpenQuestion graph.