Evidence map›Paper›PMID 41684180›Full record

ArticleImmunity, inflammation and disease2026

The Factors Influencing the Efficacy of Pregabalin Combined With Lidocaine in the Treatment of Postherpetic Neuralgia Patients: An Analysis.

Xinkai Wang, Weiliang Cong, Jian Jin, Lin Zhao

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xinkai WangDepartment of Pain, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.ORCID https://orcid.org/0009-0000-2905-0827
Weiliang CongDepartment of Pain, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Jian JinDepartment of Pain, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Lin ZhaoDepartment of Pain, The First Affiliated Hospital of China Medical University, Shenyang, China.

Funding

Qiqihar Municipal Bureau of Science and Technology LSFGG-2025039
6 · The paper itself

Abstract

objectiveThis study aims to analyze the primary factors influencing the therapeutic effect of pregabalin combined with lidocaine in patients with post-herpetic neuralgia (PHN).

methodsClinical data of 97 PHN patients admitted to our hospital from January 2022 to October 2024 were retrospectively analyzed. All patients received pregabalin combined with lidocaine treatment. Treatment efficacy was assessed using the numerical rating scale (NRS) for pain, dividing patients into effective (≥ 50% NRS reduction) and ineffective groups. Univariate and multivariate logistic regression analyses identified the main influencing factors. Pearson correlation analysis explored relationships between factors and therapeutic effect. Receiver operating characteristic (ROC) curves evaluated predictive values.

resultsPosttreatment, 77 patients (79.38%) were classified as responders, while 20 (20.62%) were nonresponders. Age (OR: 0.163, 95% CI: 0.036-0.535), illness duration (OR: 0.098, 95% CI: 0.015-0.369), pain severity (OR: 2.794, 95% CI: 1.362-6.566), and presence of concomitant immunosuppressive diseases (OR: 0.194, 95% CI: 0.030-0.742) were key determinants. Positive correlations were found between illness duration (r = 0.352), pain severity (r = -0.279), immunosuppressive diseases (r = 0.231), and treatment effectiveness (p < 0.05). Age showed a negative correlation (r = 0.301, p < 0.05). ROC curves indicated AUCs for age, illness duration, pain severity, and immunosuppressive diseases were 0.685, 0.716, 0.691, and 0.368, respectively. Combined, these factors had a higher predictive value (AUC = 0.734).

conclusionAge ≥ 65 years, illness duration ≥ 3 months, severe pain, and the presence of concomitant diseases causing immunosuppression are the main factors influencing the effectiveness of combined pregabalin and lidocaine treatment for PHN.

Indexed as

AnalgesicsAnesthetics, LocalLidocaineNeuralgia, PostherpeticPregabalinAgedDrug Therapy, CombinationFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedRetrospective StudiesAnalgesicsAnesthetics, LocalLidocainePregabalinHerpes Zosterinfluencing factorslidocaineneuralgiapregabalin

Identifiers

PMID41684180
PMCPMC12902186

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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.