Evidence map›Paper›PMID 41473765›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2025

Minimally important difference and responsiveness to change for numerical rating scale of menstrual pain severity: a psychometric study.

Chen X Chen, Jingyue Wu, Chiyoung Lee, Juyoung Park, Hyochol Ahn, Lifeng Lin, Kurt Kroenke

Abstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chen X ChenThe University of Arizona College of Nursing, Tucson, AZ, United States.
Jingyue WuThe University of Arizona College of Nursing, Tucson, AZ, United States.
Chiyoung LeeThe University of Arizona College of Nursing, Tucson, AZ, United States.
Juyoung ParkThe University of Arizona College of Nursing, Tucson, AZ, United States.
Hyochol AhnThe University of Arizona College of Nursing, Tucson, AZ, United States.
Lifeng LinThe University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, United States.
Kurt KroenkeIndiana University School of Medicine, Indianapolis, IN, United States.

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Translating Measures of Visual Experience to Children with Autism and Down SyndromeKL2TR002530 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI ROBB, SHERI L · 2018 to 2022
$4.8M
Vaginal Microbiome, Inflammatory Mediators, Metabolome, and Dysmenorrhea Symptom-based PhenotypesR01HD110994 · NICHD · UNIVERSITY OF ARIZONA · PI Chen X Chen · 2023 to 2026
$2.5M
NCATS NIH HHS KL2 TR002530NCATS NIH HHS UL1 TR002529NICHD NIH HHS R01 HD110994
6 · The paper itself

Abstract

Background: Menstrual pain affects 45%-95% of reproductive-age females and increases the risk of other chronic pain conditions. Psychometrically sound measurement tools are essential for advancing research and clinical care in menstrual pain. Numerical rating scales (NRS) are widely used to measure pain severity. However, the minimally important difference (MID) and responsiveness to change of the NRS in the context of menstrual pain are not well understood. Understanding MID and responsiveness to change helps guide the evaluation of treatment efficacy and clinical decision-making. This study evaluated the MID and responsiveness to change in the NRS, ranging from 0 to 10, for menstrual pain severity. Methods: Participants who were menstruating (aged 14-42, Results: The MID estimates were close to 1 point. The NRS of menstrual pain severity was responsive to menstrual pain improvement (standard response means ranged from 0.44 to 0.61, Conclusions: The findings can inform the design and interpretation of studies testing interventions for menstrual pain, while also guiding clinicians in monitoring and adjusting treatment.

Indexed as

dysmenorrheaminimally important clinical differencepatient reported outcome measurespelvic painpsychometrics

Identifiers

PMID41473765
PMCPMC12745389

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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.