Evidence map›Paper›PMID 37459331›Full record

Observational studyPloS one2023

Nepalese version of Douleur Neuropathique 4 (DN4) questionnaire for detection of neuropathic pain signs and symptoms: Translation and psychometric properties.

Bigen Man Shakya, Anil Shrestha, Amod Kumar Poudyal, Ninadini Shrestha, Binita Acharya, Renu Gurung, Sujata Shakya

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bigen Man ShakyaDepartment of Anaesthesiology, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Anil ShresthaDepartment of Anaesthesiology, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Amod Kumar PoudyalCentral Department of Public Health, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Ninadini ShresthaDepartment of Anaesthesiology, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Binita AcharyaDepartment of Anaesthesiology, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Renu GurungDepartment of Anaesthesiology, Maharajgunj Medical Campus, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Sujata ShakyaCentral Department of Public Health, Tribhuvan University Institute of Medicine, Maharajgunj, Kathmandu, Nepal.ORCID 0000-0003-0341-595X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to translate the DN4 questionnaire into Nepalese version and assess its psychometric properties: diagnostic accuracy, internal consistency, and test-retest reliability.

methodsAn observational study was conducted in a tertiary level teaching hospital of Kathmandu, Nepal. We included 166 patients with chronic pain visiting a pain clinic over a period of one year. The Nepalese version of the DN4 questionnaire was used for detecting signs and symptoms of neuropathic pain. The English version of the questionnaire was translated into Nepali in accordance with the standard guideline with the help of linguistic experts. The patients who met the inclusion criteria were examined and interviewed twice in an interval of two weeks. The association between the index test and the reference test was analyzed using Chi-square test. Diagnostic accuracy was assessed using sensitivity, specificity, Youden's index, and positive and negative predictive values. We calculated internal consistency using Cronbach's alpha (∝), and test-retest reliability using Cohen's kappa and Intra-class correlation coefficient (ICC).

resultsThe study showed a significant association between the result of DN4 questionnaire and the gold standard (physician's diagnosis) (p<0.001). The sensitivity and specificity values for the DN4 questionnaire were 75% and 95.3% respectively. Similarly, positive and negative predictive values were 93.8% and 80.4% respectively. Our study showed adequate internal consistency (∝ = 0.710) and a good test-retest reliability (kappa = 0.872, ICC = 0.877).

conclusionsThe Nepalese version of DN4 questionnaire is a valid and reliable tool for the identification of signs and symptoms of neuropathic pain. This can be used for screening neuropathic pain signs and symptoms in clinical as well as research settings.

Indexed as

NeuralgiaHumansNepalPain MeasurementPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID37459331
PMCPMC10351728

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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.