Evidence map›Paper›PMID 37271451›Full record

ArticleThe Journal of investigative dermatology2024

The Hidradenitis Suppurativa Omics Database (HS-OmicsDB).

Peter Dimitrion, Ian Loveless, Li Zhou, Qing-Sheng Mi, Indra Adrianto

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of investigative dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Peter DimitrionCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, Michigan, USA; Immunology Research Program, Henry Ford Cancer Institute, Henry Ford Health, Detroit, Michigan, USA; Cancer Biology Graduate Program, School of Medicine, Wayne State University, Detroit, Michigan, USA.
Ian LovelessCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, Michigan, USA; Immunology Research Program, Henry Ford Cancer Institute, Henry Ford Health, Detroit, Michigan, USA; Center for Bioinformatics, Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA; Department of Computational Mathematics, Science, and Engineering; Medical Imaging and Data Integration Lab; Michigan State University, East Lansing, Michigan, USA.
Li ZhouCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, Michigan, USA; Immunology Research Program, Henry Ford Cancer Institute, Henry Ford Health, Detroit, Michigan, USA; Department of Biochemistry, Microbiology, and Immunology, School of Medicine, Wayne State University, Detroit, Michigan, USA; Department of Medicine, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA.
Qing-Sheng MiCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, Michigan, USA; Immunology Research Program, Henry Ford Cancer Institute, Henry Ford Health, Detroit, Michigan, USA; Cancer Biology Graduate Program, School of Medicine, Wayne State University, Detroit, Michigan, USA; Department of Biochemistry, Microbiology, and Immunology, School of Medicine, Wayne State University, Detroit, Michigan, USA; Department of Medicine, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA.
Indra AdriantoCenter for Cutaneous Biology and Immunology Research, Department of Dermatology, Henry Ford Health, Detroit, Michigan, USA; Immunology Research Program, Henry Ford Cancer Institute, Henry Ford Health, Detroit, Michigan, USA; Center for Bioinformatics, Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA; Department of Biochemistry, Microbiology, and Immunology, School of Medicine, Wayne State University, Detroit, Michigan, USA; Department of Medicine, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA. Electronic address: iadrian1@hfhs.org.

Funding

Using whole-exome sequencing to uncover key genetic variants related to Hidradenitis Suppurativa risk in African American and Hispanic population.R01AR078688 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIAO, WILSON, MI, QING-SHENG · 2021 to 2025
$4.1M
Uncover the new subsets of epidermal Langerhans cellsR61AR076803 · NIAMS · HENRY FORD HEALTH SYSTEM · PI ADRIANTO, INDRA, MI, QING-SHENG · 2019 to 2020
$746k
Genetic risk of hidradenitis suppurativa in African AmericansR21AR079089 · NIAMS · HENRY FORD HEALTH SYSTEM · PI ADRIANTO, INDRA, MI, QING-SHENG · 2022 to 2023
$520k
Uncover the new subsets of epidermal Langerhans cellsR33AR076803 · NIAMS · HENRY FORD HEALTH SYSTEM · PI ADRIANTO, INDRA, MI, QING-SHENG · 2021 to 2021
$380k
Decoding TGF-beta signaling pathways in skin langerhans cellsR56AI165991 · NIAID · HENRY FORD HEALTH SYSTEM · PI MI, QING-SHENG, ZHOU, LI · 2022 to 2022
$376k
NIAID NIH HHS R56 AI165991NIAMS NIH HHS R01 AR078688NIAMS NIH HHS R21 AR079089NIAMS NIH HHS R33 AR076803NIAMS NIH HHS R61 AR076803
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Hidradenitis SuppurativaHumansSeverity of Illness Index

Identifiers

PMID37271451
PMCPMC10692306

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.