Evidence map›Paper›PMID 38259463›Full record

ArticleFrontiers in immunology2023

Large-scale epidemiological analysis of common skin diseases to identify shared and unique comorbidities and demographic factors.

Qinmengge Li, Matthew T Patrick, Sutharzan Sreeskandarajan, Jian Kang, J Michelle Kahlenberg, Johann E Gudjonsson, Zhi He, Lam C Tsoi

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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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

8 authors.

Qinmengge LiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United States.
Matthew T PatrickDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States.
Sutharzan SreeskandarajanThe Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Jian KangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United States.
J Michelle KahlenbergDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States.
Johann E GudjonssonDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United States.
Zhi HeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United States.
Lam C TsoiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United States.

Funding

University of Michigan Skin Biology and Diseases Resource-based CenterP30AR075043 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Johann Eli Gudjonsson · 2019 to 2026
$6.6M
Immunogenomics and Systems Biology CoreUC2AR081033 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Johann Eli Gudjonsson, Lam Cheung Tsoi · 2022 to 2026
$3.3M
Integrative and trans-ethnic study to understand psoriasis associated signalsR01AR080662 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lam Cheung Tsoi · 2023 to 2026
$1.4M
Integrative Biology Approach to Identify and Characterize Roles of lncRNAs Associated with Psoriasis PathologyK01AR072129 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TSOI, LAM CHEUNG · 2017 to 2021
$500k
NIAMS NIH HHS K01 AR072129NIAMS NIH HHS P30 AR075043NIAMS NIH HHS R01 AR080662NIAMS NIH HHS UC2 AR081033
6 · The paper itself

Abstract

Introduction: The utilization of large-scale claims databases has greatly improved the management, accessibility, and integration of extensive medical data. However, its potential for systematically identifying comorbidities in the context of skin diseases remains unexplored. Methods: This study aims to assess the capability of a comprehensive claims database in identifying comorbidities linked to 14 specific skin and skin-related conditions and examining temporal changes in their association patterns. This study employed a retrospective case-control cohort design utilizing 13 million skin/skin-related patients and 2 million randomly sampled controls from Optum's de-identified Clinformatics Results: Using the established type-2 diabetes (T2D) and psoriasis comorbidity as example, we demonstrated the association is significant (P-values<1x10 Discussion: The findings highlight the potential of utilizing comprehensive claims databases in advancing research and improving patient care in dermatology.

Indexed as

Celiac DiseaseCrohn DiseaseDiabetes Mellitus, Type 2Hidradenitis SuppurativaLeprosyLupus Erythematosus, SystemicComorbidityDemographyHumansRetrospective StudiesclaimscomorbidityepidemiologyOptumskin disease

Identifiers

PMID38259463
PMCPMC10800546

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.