Evidence map›Paper›PMID 29029907›Full record

ArticleJournal of the American Academy of Dermatology2017

Acne, sexual orientation, and mental health among young adults in the United States: A population-based, cross-sectional study.

Yi Gao, Esther K Wei, Sarah T Arron, Eleni Linos, David J Margolis, Matthew D Mansh

Abstract readLetter
In one paragraph

Article in Journal of the American Academy of Dermatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Acne in transgender populations on hormone replacement therapy.Archives of dermatological research · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Dermatologic Conditions in Transgender Populations.Endocrinology and metabolism clinics of North America · 2019
    Review
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 5 institutions in 1 country.

Yi GaoCleveland Clinic Lerner College of Medicine, Cleveland, Ohio.
Esther K WeiCalifornia Pacific Medical Center Research Institute, San Francisco, California.
Sarah T ArronDepartment of Dermatology, University of California, San Francisco, San Francisco, California.
Eleni LinosDepartment of Dermatology, University of California, San Francisco, San Francisco, California.
David J MargolisDepartment of Dermatology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Matthew D ManshDepartment of Dermatology, University of Minnesota, Minneapolis, Minnesota. Electronic address: mansh@umn.edu.
University of California, San Francisco · USCalifornia Pacific Medical Center · USCleveland Clinic Lerner College of Medicine · USUniversity of Minnesota · USUniversity of Pennsylvania · US

Funding

Targeted Advertising for Cancer PreventionDP2CA225433 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINOS, ELENI · 2017 to 2019
$2.9M
Involving older adults in decision making for skin cancerK76AG054631 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINOS, ELENI · 2016 to 2018
$644k
Online Advertising for Skin Cancer PreventionR21CA212201 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINOS, ELENI · 2017 to 2018
$379k
NCI NIH HHS DP2 CA225433NCI NIH HHS R21 CA212201NIA NIH HHS K76 AG054631
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Acne VulgarisAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMental DisordersSexual BehaviorUnited StatesYoung Adult

Identifiers

PMID29029907
PMCPMC6181754
OpenAlexW2764032723

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.