Evidence map›Paper›PMID 33112011›Full record

ArticleJournal of clinical laboratory analysis2021

Laboratory markers associated with COVID-19 progression in patients with or without comorbidity: A retrospective study.

Zaishu Chen, Furong Zhang, Weihua Hu, Qijian Chen, Chang Li, Longlong Wu, Zhuheng Zhang, Bin Li, Qifa Ye, Jin Mei and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Creatine Kinase as a Predictor of Disease Severity in Children with COVID-19.Medical journal of the Islamic Republic of Iran · 2025
    Article
  7. Lab results of COVID-19 patients: OmicronWorld journal of virology · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. 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

11 authors.

Zaishu ChenJiayu People's Hospital, Jiayu, China.
Furong ZhangDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, China.
Weihua HuJingzhou First People's Hospital, Jingzhou, China.
Qijian ChenEmergency Department, Fifth Hospital in Wuhan, Wuhan, China.
Chang LiHubei No.3 People's Hospital of Jianghan University, Wuhan, China.
Longlong WuPeople's Hospital of Nanzhang County, Xiangyang, China.
Zhuheng ZhangDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, China.
Bin LiDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, China.
Qifa YeZhongnan Hospital of Wuhan University, Institute of Hepatobiliary Diseases of Wuhan University, Wuhan, China.
Jin MeiCentral Laboratory, Ningbo First Hospital, Zhejiang University, Ningbo, China.
Jiang YueDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, China.ORCID https://orcid.org/0000-0001-8906-1253

Funding

Medical Science Advancement Program (Clinical Medicine) of Wuhan University TFLC 2018003National Natural Science Foundation of China 81970653
6 · The paper itself

Abstract

objectivesTo investigate laboratory markers for COVID-19 progression in patients with different medical conditions.

methodsWe performed a multicenter retrospective study of 836 cases in Hubei. To avoid the collinearity among the indicators, principal component analysis (PCA) followed by partial least squares discriminant analysis (PLS-DA) was performed to obtain an overview of laboratory assessments. Multivariable logistic regression analysis and multivariable Cox proportional hazards regression analysis were respectively used to explore risk factors associated with disease severity and mortality. Survival analysis was performed in patients with the most common comorbidities.

resultsLactate dehydrogenase (LDH) and prealbumin were associated with disease severity in patients with or without comorbidities, indicated by both PCA/PLS-DA and multivariable logistic regression analysis. The mortality risk was associated with age, LDH, C-reactive protein (CRP), D-dimer, and lymphopenia in patients with comorbidities. CRP was a risk factor associated with short-term mortality in patients with hypertension, but not liver diseases; additionally, D-dimer was a risk factor for death in patients with liver diseases.

conclusionsLactate dehydrogenase was a reliable predictor associated with COVID-19 severity and mortality in patients with different medical conditions. Laboratory biomarkers for mortality risk were not identical in patients with comorbidities, suggesting multiple pathophysiological mechanisms following COVID-19 infection.

Indexed as

AdultAgedBiomarkersComorbidityCOVID-19C-Reactive ProteinDiabetes MellitusDisease ProgressionFemaleHospitalizationHumansHypertensionLeast-Squares AnalysisLiver DiseasesL-Lactate DehydrogenaseMaleBiomarkersC-Reactive ProteinL-Lactate DehydrogenasePrealbuminCoronavirus disease-19 (COVID-19)diabeteshypertensionlactate dehydrogenaseliver diseases

Identifiers

PMID33112011
PMCPMC7645968

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.