Evidence map›Paper›PMID 35171364›Full record

ArticleClinical rheumatology2022

Clinical outcomes of COVID-19 patients with rheumatic diseases: a retrospective cohort study and synthesis analysis in Wuhan, China.

Geyao Qi, Hao Wang, Yufeng Guo, Chi Peng, Chenxu Zhang, Ting Chen, Jia He, Zhichao Jin

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Clinical rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  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 at 3 institutions in 1 country.

Geyao Qi *Department of Health Statistics, Naval Medical University, Shanghai, 200433, China.
Hao Wang *Department of Colorectal Surgery, ChangHai Hospital, Naval Medical University, Shanghai, 200433, China.
Yufeng Guo *Department of Medical Administration, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Chi PengDepartment of Health Statistics, Naval Medical University, Shanghai, 200433, China.
Chenxu ZhangDepartment of Health Statistics, Naval Medical University, Shanghai, 200433, China.
Ting ChenDepartment of Cardiology, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Jia HeDepartment of Health Statistics, Naval Medical University, Shanghai, 200433, China.
Zhichao JinDepartment of Health Statistics, Naval Medical University, Shanghai, 200433, China. jinzhichao@smmu.edu.cn.ORCID http://orcid.org/0000-0002-9124-8049
Shanghai Changzheng Hospital · CNSecond Military Medical University · CNShanghai University of Medicine and Health Sciences · CN

Funding

Natural Science Foundation of Shanghai 15ZR1412300Three-Year Action Plan for Strengthening Public Health System in Shanghai(2020-2022)Key Discipline Construction Project GWV-10.1-XK05
6 · The paper itself

Abstract

backgroundThe clinical outcomes of patients with rheumatic diseases infected with COVID-19 were inconsistent characteristics across regions and time periods. We need to revisit and sort out the clinical characteristics of these patients at the beginning of the global COVID-19 epidemic.

methodsWe collected data from confirmed COVID-19 patients from two military-run field hospitals and classified them into the rheumatic disease group and no rheumatic disease groups, and the latter was further distinguished by ARD and non-ARD. We compared the primary outcome, which we defined as mortality, and the secondary outcome, which we defined as the ICU occupancy rate, the duration of hospitalization and the duration of viral clearance, between the patients with and without rheumatic diseases after PSM. A study-level meta-analysis of four studies was conducted on the mortality of the COVID-19 patients with and without rheumatic diseases.

resultsA total of 4353 COVID-19 patients were included in our cohort study; 91 had rheumatic diseases. The mean age of the entire cohort was 59.37, and 2281 (52.40%) patients were female. The mortalities after PSM were 1.11% and 3.46% in the rheumatic diseases and no rheumatic disease groups, respectively. The ICU occupancy rates after PSM were 2.22% and 4.61% in the rheumatic diseases and no rheumatic disease groups. The duration of hospitalization and viral clearance in the rheumatic disease group were 15.97 and 43.69, respectively; moreover, the same parameters in the no rheumatic diseases after PSM were 15.48 and 45.48. No significant differences were found in either the primary or secondary outcomes. After excluding the gout cases, the results were still similar. However, there was a significant difference between the two groups upon meta-analysis (RR = 1.70, 95% CI 1.35-2.13).

conclusionsRheumatic diseases seemed to aggravate the course of COVID-19 infection. However, the poor outcomes of COVID-19 seemed to be unassociated with rheumatic diseases undergoing an adequate medical intervention. KEY POINTS: • We compared the outcomes and prognosis of COVID-19 patients in China at the beginning of the outbreak regarding the presence or absence of rheumatic disease patients and made some meaningful conclusions for future outbreaks of similar infectious diseases. • We compared similar recent studies from other countries and explored the changes and differences in patient outcomes associated with COVID-19 as it continued to spread worldwide during the year, providing clinical evidence to further explore the role rheumatic diseases play in COVID-19 patient outcomes. • We provided evidence for the treatment of relevant patients and made rationalized recommendations for treatment strategy.

Indexed as

COVID-19Rheumatic DiseasesChinaCohort StudiesFemaleHospitalizationHumansMaleRetrospective StudiesSARS-CoV-2COVID-19Meta-analysisMortalityPropensity score matchingRheumatic diseases

Identifiers

PMID35171364
PMCPMC8853197
OpenAlexW4213108267

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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.