Evidence map›Paper›PMID 30468531›Full record

ArticleJournal of the European Academy of Dermatology and Venereology : JEADV2019

Diagnosis validation and clinical characterization of atopic dermatitis in Nurses' Health Study 2.

A M Drucker, E Cho, W-Q Li, C A Camargo, T Li, A A Qureshi

Abstract read
In one paragraph

Article in Journal of the European Academy of Dermatology and Venereology : JEADV, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Prevalence and Risk Factors of COVID-19 Symptoms among U.S. Adults with Allergies.International journal of environmental research and public health · 2021
    Article
  2. Smoking and risk of adult-onset atopic dermatitis in US women.Journal of the American Academy of Dermatology · 2021
    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

6 authors at 3 institutions in 2 countries.

A M DruckerDivision of Dermatology, Department of Medicine, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-7388-9475
E ChoDepartment of Dermatology, Warren Alpert Medical School of Brown University, Providence, RI, USA.
W-Q LiDepartment of Dermatology, Warren Alpert Medical School of Brown University, Providence, RI, USA.
C A CamargoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
T LiDepartment of Dermatology, Warren Alpert Medical School of Brown University, Providence, RI, USA.
A A QureshiDepartment of Dermatology, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Brigham and Women's Hospital · USBrown University · USUniversity of Toronto · CA

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Department of Dermatology, Warren Alpert Medical School of Brown UniversityNCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA176726Nurses' Health Study II grant UM1 CA176726SURDNA Foundation fellowship through the Brown Center for Gerontology and Healthcare Research
6 · The paper itself

Abstract

backgroundEpidemiologic studies of atopic dermatitis (AD) are often limited by case definitions that have not been validated.

objectiveIn this study, we assessed the accuracy of self-report of AD in a large cohort of US female nurses, the Nurses' Health Study 2 (NHS2). We also provide clinical characteristics of AD in the cohort.

methodsWe sent an electronic questionnaire to NHS2 participants who previously reported ever having a diagnosis of AD. This questionnaire was designed to confirm cases of AD using previously validated algorithms with >85% specificity. We assessed the association of AD with asthma, comparing the results when different definitions of AD were applied. We also inquired about various aspects of participants' AD.

resultsResponses were received from 2509 of 5126 (49%) nurses who were sent the questionnaire, with an average age of 62. Most participants (1996/2509, 80%) reiterated their previously reported clinician diagnosis of AD. Application of the two diagnostic algorithms yielded confirmation of 1538 and 1293 prevalent cases, respectively. The association of AD with asthma was stronger when more stringent AD case definitions were applied. Participants generally reported mild disease (92% with ≤10% maximal body surface area involved) and a high proportion (57%) reported adult-onset disease.

conclusionsSelf-report of AD diagnosis has good reliability, and future analyses will be strengthened by our ability to conduct sensitivity analyses with refined confirmed AD subgroups.

Indexed as

Self ReportAdolescentAdultAgedAge of OnsetAlgorithmsAnxietyAsthmaBody Surface AreaChildChild, PreschoolComorbidityDermatitis, AtopicFemaleHealth SurveysHumans

Identifiers

PMID30468531
PMCPMC6512329
OpenAlexW2901821809

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.