Evidence map›Paper›PMID 40783993›Full record

ArticleJoint diseases and related surgery2025

Neuropathic pain in knee osteoarthritis: Prevalence, diagnosis, and clinical implications.

Özlem Karataş, Dilek Yapar, Aliekber Yapar, Serpil Tuna, Hakan Çetin, Ali Akdağ

Abstract read
In one paragraph

Article in Joint diseases and related surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Özlem KarataşAkdeniz Üniversitesi Tıp Fakültesi Fiziksel Tıp ve Rehabilitasyon Anabilim Dalı, 07070 Kampus, Antalya, Türkiye. drozlemkaratas86@gmail.com.
Dilek Yapar
Aliekber Yapar
Serpil Tuna
Hakan Çetin
Ali Akdağ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to explore the prevalence of neuropathic pain (NP) in patients with knee osteoarthritis (KOA) and to assess its correlation with functional status. PATIENTS AND

methodsBetween December 2023 and May 2024, a total of 193 patients (48 males, 145 females; mean age: 58.7±12.8 years; range, 22 to 89 years) who were diagnosed with KOA and had persistent knee pain for more than three months were included. The painDETECT and Douleur Neuropathique en 4 Questions (DN4) questionnaires were utilized to evaluate NP. The Visual Analog Scale (VAS) was used to assess pain severity, while the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was utilized to assess functional status.

resultsThe painDETECT indicated NP in 27.5% of patients, while the DN4 scale showed 30.6%. Patients with NP exhibited significantly elevated VAS and WOMAC scores to patients without NP, indicating a greater severity of pain and functional impairment in this subgroup (p<0.05). The agreement between the painDETECT and DN4 was moderate (κ=0.472). There were significant correlations between the painDETECT and DN4 scores with the WOMAC total score (r=0.371 and r=0.242, respectively, p<0.001).

conclusionNeuropathic pain is common in KOA patients and is associated with higher pain intensity and poorer functional outcomes. The moderate agreement between the painDETECT and DN4 scores may lead to a certain degree of diagnostic variation. Combining more than one method may increase the diagnostic accuracy.

Indexed as

NeuralgiaOsteoarthritis, KneeAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPain MeasurementPrevalenceSeverity of Illness IndexSurveys and QuestionnairesYoung Adult

Identifiers

PMID40783993
PMCPMC12456350

What OpenQuestion 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 OpenQuestion graph.