Evidence map›Paper›PMID 38707743›Full record

ArticleFrontiers in rehabilitation sciences2024

Assessment of a novel Ehlers-Danlos syndromes disability index.

Stephen Chai, Patricia Roney, John Fagan, Emily Rose Rosario

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Stephen ChaiResearch Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, United States.
Patricia RoneyResearch Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, United States.
John FaganResearch Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, United States.
Emily Rose RosarioResearch Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Ehlers-Danlos syndromes (EDS) are a group of inherited connective tissue disorders characterized by disruptions in collagen synthesis and processing. These disorders lead to various symptoms, including hypermobility, musculoskeletal conditions, and chronic pain that can significantly limit patients' daily living. In the absence of a curative treatment, an EDS specific disability index that tracks changes in patient-reported outcomes can facilitate the investigation of new treatment options and enhance the quality of life for EDS patients. Methods: An EDS-specific disability index was created using survey data and input from clinicians. A total of 222 EDS patients in a multidisciplinary clinical program completed the index during their initial visit. Exploratory and confirmatory factor analyses were conducted to determine the index's factor solution and assess its goodness-of-fit. Paired Results: The exploratory and confirmatory factor analyses indicated a two-factor solution, accounting for 42.40% of the variance. The index demonstrated adequate fit to the data, supported by Tucker and Lewis's index (0.85) and root mean square error of approximation (0.1). Data from follow-up visits showed significant improvement in three symptom related variables and one function related variable in addition to the total score and the symptom subscale score when compared to the initial visit. Conclusion: The development of an EDS-specific disability index is a crucial step in creating a clinical tool that enables healthcare professionals to gain a deeper understanding of the impact EDS has on patients' lives and potentially identify new therapeutic interventions.

Indexed as

disability indexEDSEhlers-Danlos syndromehypermobilitypain managementpatient reported outcomes

Identifiers

PMID38707743
PMCPMC11066269

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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.