Evidence map›Paper›PMID 28914180›Full record

ArticleWestern journal of nursing research2018

Symptoms-Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis.

Chen X Chen, Susan Ofner, Giorgos Bakoyannis, Kristine L Kwekkeboom, Janet S Carpenter

Open access · greenAbstract read
In one paragraph

Article in Western journal of nursing research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
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  6. Article
  7. Article
  8. Pain Phenotypes in Endometriosis: A Population-Based Study Using Latent Class Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025
    Article
  9. A Prospective Study of the Relationship of COVID-19 Vaccination to Menstrual Cycle Characteristics in Adolescent Girls.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. COVID-Related Distress Is Associated with Increased Menstrual Pain and Symptoms in Adult Women.International journal of environmental research and public health · 2022
    Article
  14. Article
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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

5 authors at 2 institutions in 1 country.

Chen X Chen1 Indiana University, Indianapolis, IN, USA.ORCID 0000-0002-6902-1227
Susan Ofner1 Indiana University, Indianapolis, IN, USA.
Giorgos Bakoyannis1 Indiana University, Indianapolis, IN, USA.
Kristine L Kwekkeboom2 University of Wisconsin-Madison, WI, USA.
Janet S Carpenter1 Indiana University, Indianapolis, IN, USA.
Indiana University – Purdue University Indianapolis · USUniversity of Wisconsin–Madison · US

Funding

INDIANA UNIVERSITY: TRAINING IN BEHAVIORAL NURSINGT32NR007066 · NINR · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI RAWL, SUSAN M · 1990 to 2017
$4.2M
NINR NIH HHS T32 NR007066
6 · The paper itself

Abstract

Dysmenorrhea is highly prevalent and may increase women's risk for developing other chronic pain conditions. Although it is highly variable, symptom-based dysmenorrhea phenotypes have not been identified. The aims of the study were to identify symptom-based dysmenorrhea phenotypes and examine their relationships with demographic and clinical characteristics. In a cross-sectional study, 762 women with dysmenorrhea rated severity of 14 dysmenorrhea-related symptoms. Using latent class analysis, we identified three distinctive phenotypes. Women in the "mild localized pain" phenotype ( n = 202, 26.51%) had mild abdominal cramps and dull abdominal pain/discomfort. Women in the "severe localized pain" phenotype ( n = 412, 54.07%) had severe abdominal cramps. Women in the "multiple severe symptoms" phenotype ( n = 148, 19.42%) had severe pain at multiple locations and multiple gastrointestinal symptoms. Race, ethnicity, age, and comorbid chronic pain conditions were significantly associated with phenotypes. Identification of these symptom-based phenotypes provides a foundation for research examining genotype-phenotype associations, etiologic mechanisms, and/or variability in treatment responses.

Indexed as

Models, StatisticalPhenotypeAdultChronic PainCross-Sectional StudiesDysmenorrheaFemaleHumansSurveys and QuestionnairesUnited Stateschronic paindysmenorrheamenstruationpelvic painphenotype

Identifiers

PMID28914180
PMCPMC5832523
OpenAlexW2776269179

What OpenQuestion holds

Textmetadata
LicenceTDM
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.