Evidence map›Paper›PMID 36808772›Full record

ArticleJournal of the European Academy of Dermatology and Venereology : JEADV2023

Excess psoriasis and psoriatic arthritis mortality during the COVID-19 pandemic in the United States: A nationwide population-based study from 2010 to 2021.

Ying Liu, Xinyuan He, Ernest Y Lee, Fan Lv, Leiqing Yao, Qinqin Meng, Lan Zhang, Wee Han Ng, Yanfei Zhang, Peter M Elias and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the European Academy of Dermatology and Venereology : JEADV, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

13 authors at 7 institutions in 3 countries.

Ying LiuDepartment of Dermatology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xinyuan HeDepartment of Infectious Diseases, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ernest Y LeeDepartment of Dermatology, University of California, San Francisco, San Francisco, California, USA.
Fan LvSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China.
Leiqing YaoDepartment of Dermatology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qinqin MengDepartment of Dermatology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lan ZhangDepartment of Dermatology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wee Han NgBristol Medical School, University of Bristol, Bristol, UK.
Yanfei ZhangDepartment of Dermatology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0003-4241-8862
Peter M EliasDepartment of Dermatology, University of California, San Francisco, San Francisco, California, USA.
Maoqiang ManDermatology Services, Veterans Affairs Medical Center and University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-0957-4903
Yee Hui YeoKarsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Zhengxiao LiDepartment of Dermatology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0003-1437-9851
Second Affiliated Hospital of Xi'an Jiaotong University · CNSan Francisco VA Medical Center · USCedars-Sinai Medical Center · USFirst Affiliated Hospital of Xi'an Jiaotong University · CNUniversity of Bristol · GBUniversity of California, San Francisco · USXi'an Jiaotong University · CN

Funding

UCSF Dermatology Training GrantT32AR007175 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wilson Liao, Michael David Rosenblum · 1986 to 2026
$6.1M
National Natural Science Foundation of China 81773327NIAMS NIH HHS T32 AR007175
6 · The paper itself

Abstract

backgroundLittle is known about mortality trends among patients with psoriasis (PsO) and psoriatic arthritis (PsA) in the United States.

objectivesTo ascertain mortality trends of PsO and PsA between 2010 and 2021, focusing on the effects of the COVID-19 pandemic.

methodsWe collected data from the National Vital Statistic System and calculated age-standardized mortality rates (ASMR) and cause-specific mortality for PsO/PsA. We evaluated observed versus predicted mortality for 2020-2021 based on trends from 2010 to 2019 with joinpoint and prediction modelling analysis.

resultsAmong 5810 and 2150 PsO- and PsA-related deaths between 2010 and 2021, ASMR for PsO dramatically increased between 2010-2019 and 2020-2021 (annual percentage change [APC] 2.07% vs. 15.26%; p < 0.01), leading to a higher observed ASMR (per 100,000 persons) than predicted for 2020 (0.27 vs. 0.22) and 2021 (0.31 vs. 0.23). The excess mortality of PsO was 22.7% and 34.8% higher than that in the general population in 2020 (16.4%, 95% CI: 14.9%-17.9%) and 2021 (19.8%, 95% CI: 18.0%-21.6%) respectively. Notably, the ASMR rise for PsO was most pronounced in the female (APC: 26.86% vs. 12.19% in males) and the middle-aged group (APC: 17.67% vs. 12.47% in the old-age group). ASMR, APC and excess mortality for PsA were similar to PsO. SARS-CoV-2 infection contributed to more than 60% of the excess mortality for PsO and PsA.

conclusionsIndividuals living with PsO and PsA were disproportionately affected during the COVID-19 pandemic. Both ASMRs increased at an alarming rate, with the most pronounced disparities among the female and middle-aged groups.

Indexed as

Arthritis, PsoriaticCOVID-19PsoriasisFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2United States

Identifiers

PMID36808772
PMCPMC13016955
OpenAlexW4321327726

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.