Evidence map›Paper›PMID 32821144›Full record

ArticleClinical, cosmetic and investigational dermatology2020

A Method for Designing a Patient Burden Questionnaire in Dermatology.

Khaled Ezzedine, Mohammed Bennani, Jason Shourick, Charles Taieb

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2020. 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
0.6field-weighted citation impact, top 28% 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, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Khaled EzzedineUniversity Hospital Henri-Mondor, Department of Dermatology, Créteil, France.ORCID 0000-0002-5468-4589
Mohammed BennaniQualees, Paris, France.ORCID 0000-0002-2410-1434
Jason ShourickUniversity of Paris-Sud, Paris, France.
Charles TaiebNecker Enfants Malades Hospital, Paris, France.
Hôpitaux Universitaires Henri-Mondor · FRUniversité Paris-Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn recent years, the concept of "disease burden" has been given a central role in evaluating patient care, particularly in skin diseases. Measuring patient-reported outcomes (PRO) such as symptoms and disease burden may be useful.

aimTo present a methodology that facilitates the development and validation of burden questionnaires for patients suffering from skin diseases. METHODOLOGY: Based on past published burden questionnaires, a methodology for designing skin disease burden questionnaires was to be developed.

resultsBased on 16 burden questionnaires developed and published over the last 10 years, the authors propose a standardized methodology for the easy design and validation of disease burden questionnaires for patients with chronic skin diseases. The authors provide detailed guidance for the conception, development and validation of the questionnaires, including reliability, internal consistency, external validity, cognitive debriefing, testing-retesting, translation and cross-cultural adaptation, as well as for statistical analysis.

conclusionThe proposed methodology enhances the design and validation of disease burden questionnaires in dermatology. Burden questionnaires may be used in clinical research as well as in daily clinical practice.

Indexed as

dermatologyindividual burdenmethodpatient-reported outcomequestionnaire

Identifiers

PMID32821144
PMCPMC7417926
OpenAlexW3047421943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.