Evidence map›Paper›PMID 40609202›Full record

ArticleInternational dental journal2025

Evaluating Dental Pain in Diverse Conditions: Findings From Short-Form McGill Pain Questionnaire Study.

Jin Wang, Yin-Fei Pu, Hong-Tao Chen, Xiang-Song Bai, Xue Yang, Ai-Ping Ji, Jie Bai

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Article in International dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Jin WangDepartment of Oral Emergency, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, 100081, PR China.
Yin-Fei PuDepartment of Oral Emergency, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, 100081, PR China.
Hong-Tao ChenDepartment of Oral Emergency, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, 100081, PR China.
Xiang-Song BaiDepartment of Oral Emergency, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, 100081, PR China.
Xue YangDepartment of Oral Emergency, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, 100081, PR China.
Ai-Ping JiDepartment of Oral Emergency, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, 100081, PR China. Electronic address: ji_aiping@sina.com.
Jie BaiDepartment of Oral Emergency, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, 100081, PR China. Electronic address: jiebai1999@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

aimsMaking precise diagnoses of patients with dental pain is challenging. Thus, a screening system that can help accurately stratify patients depending on the severity of their condition is required. In this study, we compared the characteristics of dental pain in patients with different conditions using a Short-Form McGill Pain Questionnaire (SF-MPQ).

methodsA total of 1541 patients admitted to the Peking University School of Stomatology between February 2022 and July 2023 were assessed. Demographic data and pain characteristics were collected. Pain was assessed using the SF-MPQ, which includes the Visual Analogue Scale (VAS), Present Pain Intensity (PPI), and Pain Rating Index (PRI). Statistical analysis was performed using SPSS software, with variance analysis and Pearson's correlation coefficients, and a T-test was employed to assess the relationship between pain scores and various factors.

resultsA total of 11 conditions associated with dental pain were detected. Symptomatic irreversible pulpitis (SIP, 427, 27.7%) and symptomatic apical periodontitis (SAP, 429, 27.8%) were the most common conditions. Higher scores were seen in patients with SIP (5.5 ± 2.8 for PRI; 59.4 ± 24.4 for VAS; 2.9 ± 0.8 for PPI), SAP (5.6 ± 2.9 for PRI; 56.1 ± 32.0 for VAS; 2.8 ± 0.7 for PPI) and interappointment flare-up (IFU, 8.2 ± 0.5 for PRI; 56.2 ± 14.9 for VAS; 3.0 ± 0.0 for PPI). The location of pain in a tooth, spontaneous pain, sleep disturbance, duration of pain in a short time, taking painkillers was invalid, diagnosis with SIP and SAP, and IFU were significantly associated with higher pain scores (all P < .05).

conclusionsPatients with SIP and SAP present with higher pain scores. The SF-MPQ can aid in the effectiveness of dental emergency triage by identifying true acute symptomatic patients and ensuring appropriate management based on the severity of their conditions. CLINICAL RELEVANCE: SF-MPQ may help to increase effectiveness in dental emergency triage, diagnosis, and treatment.

Indexed as

Pain MeasurementToothacheAdolescentAdultAgedFemaleHumansMaleMiddle AgedPeriapical PeriodontitisPulpitisSurveys and QuestionnairesYoung AdultDental Emergency DepartmentDental PainPain AssessmentPain ManagementShort-Form McGill Pain Questionnaire

Identifiers

PMID40609202
PMCPMC12271786

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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.