Evidence map›Paper›PMID 39877686›Full record

ArticleJID innovations : skin science from molecules to population health2025

Capture of Patient Itch Scores in Practice Reveals Disparate Itch Impact on the Basis of Age, Gender, and Race: A Cross-Sectional Survey Analysis.

Yin Li, Robert A Swerlick

Abstract read
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2025. 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
–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

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

  1. Pooled it
  2. Article
  3. Unpacking the Itch Score: A Critical Examination of Routine Itch Measurement in Dermatology Practice.JID innovations : skin science from molecules to population health · 2025
    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

2 authors.

Yin LiDepartment of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA.
Robert A SwerlickDepartment of Dermatology, Emory University School of Medicine, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Skin symptom burden, varying with patient populations, may not be readily observed by clinicians, resulting in incomplete appreciation of total skin disease burden. Objective: The purpose of this study was to define patient itch burdens and associated health-related QOL affecting different patient demographics and to identify potential population health disparities. Methods: This is a cross-sectional, secondary data analysis of data captured using an automated routine electronic previsit survey completed by patients who visited Emory Healthcare Dermatology clinic between March 2021 and October 2022 (6532 patient visits). Descriptive statistics and ordered logit regression analyses were used to examine the prevalence and intensity of itch and the impacts of itch on QOL. Results: Overall itch burden increases as age increases; females and African Americans experienced more itch burden than males and other racial groups. Itch places significant symptom, emotional, and functional burdens on patients' QOL, impacts that are independent of patients' demographics. Limitations: The data collected were from a single dermatology practice and may not be reflective of other practices or populations. Conclusion: Dermatology previsit surveys are feasible in examining the significant pruritus burden, especially for older individuals, females, and African Americans with chronic skin conditions.

Indexed as

AgeAutomationData collectionGenderGeneral dermatology

Identifiers

PMID39877686
PMCPMC11773235

What OpenQuestion holds

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Registered trials

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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.