Evidence map›Paper›PMID 24455240›Full record

ArticlePain research and treatment2013

Phenotyping chronic pelvic pain based on latent class modeling of physical examination.

B W Fenton, S F Grey, M Reichenbach, M McCarroll, V Von Gruenigen

Open access · hybridAbstract read
In one paragraph

Article in Pain research and treatment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pain Phenotypes in Endometriosis: A Population-Based Study Using Latent Class Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025
    Article
  3. Using PROMIS® to create clinically meaningful profiles of nephrotic syndrome patients.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019
    Article
  4. Article
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.

B W FentonDepartment of Obstetrics and Gynecology, Summa Health System, 525 E Market Street, Akron, OH 44309-2090, USA.
S F GreyDepartment of Epidemiology and Biostatistics, College of Public Health, Kent State University, Kent Hall 136C, Kent, OH 44242, USA.
M ReichenbachDepartment of Epidemiology and Biostatistics, College of Public Health, Kent State University, Kent Hall 136C, Kent, OH 44242, USA.
M McCarrollDepartment of Obstetrics and Gynecology, Summa Health System, 525 E Market Street, Akron, OH 44309-2090, USA.
V Von GruenigenDepartment of Obstetrics and Gynecology, Summa Health System, 525 E Market Street, Akron, OH 44309-2090, USA.
Summa Health System · USKent State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction. Defining clinical phenotypes based on physical examination is required for clarifying heterogeneous disorders such as chronic pelvic pain (CPP). The objective of this study was to determine the number of classes within 4 examinable regions and then establish threshold and optimal exam criteria for the classes discovered. Methods. A total of 476 patients meeting the criteria for CPP were examined using pain pressure threshold (PPT) algometry and standardized numeric scale (NRS) pain ratings at 30 distinct sites over 4 pelvic regions. Exploratory factor analysis, latent profile analysis, and ROC curves were then used to identify classes, optimal examination points, and threshold scores. Results. Latent profile analysis produced two classes for each region: high and low pain groups. The optimal examination sites (and high pain minimum thresholds) were for the abdominal wall region: the pair at the midabdomen (PPT threshold depression of > 2); vulvar vestibule region: 10:00 position (NRS > 2); pelvic floor region: puborectalis (combined NRS > 6); vaginal apex region: uterosacral ligaments (combined NRS > 8). Conclusion. Physical examination scores of patients with CPP are best categorized into two classes: high pain and low pain. Standardization of the physical examination in CPP provides both researchers and general gynecologists with a validated technique.

Identifiers

PMID24455240
PMCPMC3885108
OpenAlexW2103626370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.