Evidence map›Paper›PMID 36052001›Full record

SynthesisFrontiers in public health2022

Comorbidities and complications of COVID-19 associated with disease severity, progression, and mortality in China with centralized isolation and hospitalization: A systematic review and meta-analysis.

Zhe Chen, Yingying Peng, Xiaolei Wu, Bo Pang, Fengwen Yang, Wenke Zheng, Chunxiang Liu, Junhua Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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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 2 institutions in 1 country.

Zhe ChenEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yingying PengFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xiaolei WuEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Bo PangEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Fengwen YangEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Wenke ZhengEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chunxiang LiuEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Junhua ZhangEvidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianjin University of Traditional Chinese Medicine · CNFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) causes life-threatening with the high-fatality rates and spreads with high-infectious disease worldwide. We aimed to systematically review the comorbidities and complications of COVID-19 that are associated with various disease severity, progression, and mortality in China, to provide contemporary and reliable estimates in settings with centralized isolation and hospitalization. Methods: In this systematic review and meta-analysis, we searched four main English language databases, and four main Chinese language databases for observational studies published from inception to January 2022, to identify all the related comorbidities and complications of COVID-19, in the China region with centralized isolation and hospitalization, with disease severity, progression, and mortality. Literature search, data extraction, and quality assessment were independently conducted by two reviewers. We used the generalized linear mixed model to estimate pooled effect sizes for any comorbidities and complications, and subgroup in gender ratio was done to further address the potential heterogeneity. Results: Overall, 187 studies describing 77,013 patients, namely, 54 different comorbidities and 46 various complications of COVID-19, were identified who met our inclusion criteria. The most prevalent comorbidities were hypertension [20.37% 95% CI (15.28-26.63), 19.29% (16.17-22.85), 34.72% (31.48-38.10), and 43.94% (38.94-49.06)] and diabetes [7.84% (5.78-10.54), 8.59% (7.25-10.16), 17.99% (16.29-19.84), and 22.68% (19.93-25.69)] in mild, moderate, severe, and critical cases. The most prevalent complications were liver injury [10.00% (1.39-46.72), 23.04% (14.20-35.13), and 43.48% (39.88-47.15)] in mild, moderate, and severe cases, and acute respiratory distress syndrome [ARDS; 94.17% (20.78-99.90)] and respiratory failure [90.69% (28.08-99.59)] in critical cases. Renal insufficiency [odds ratio (OR) 17.43 (6.69-45.43)] in comorbidities and respiratory failure [OR 105.12 (49.48-223.33)] in complications were strongly associated in severe/critical than in mild/moderate cases. The highest estimated risk in intensive care unit (ICU) admission, progression, and mortality was an autoimmune disease, nervous system disease, and stroke in comorbidities, shock, and ARDS in complications. Conclusion: Comorbidities and complications in inpatients with COVID-19 were positively associated with increased risk in severe and critical cases, ICU admission, exacerbation, and death during centralized isolation and hospitalization. Prompt identification of comorbidities and complications in inpatients with COVID-19 can enhance the prevention of disease progression and death and improve the precision of risk predictions.

Indexed as

COVID-19Respiratory Distress SyndromeRespiratory InsufficiencyHospitalizationHumansObservational Studies as TopicSARS-CoV-2Severity of Illness Indexcentralized isolation and hospitalizationcomorbiditiescomplicationsCOVID-19systematic review

Identifiers

PMID36052001
PMCPMC9424916
OpenAlexW4291926343

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.