Evidence map›Paper›PMID 32277967›Full record

ArticleThe Journal of infection2020

Serum Amyloid A is a biomarker of severe Coronavirus Disease and poor prognosis.

Huan Li, Xiaochen Xiang, Hongwei Ren, Lingli Xu, Lisha Zhao, Xiaoqiong Chen, Hui Long, Qiang Wang, Qingming Wu

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 14 pooled it
46.6field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 14 syntheses or guidelines pooled it, 262 citations in OpenAlex.

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  4. Serum amyloid A concentrations, COVID-19 severity and mortality: An updated systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
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  9. Comparative analysis of laboratory indexes of severe and non-severe patients infected with COVID-19.Clinica chimica acta; international journal of clinical chemistry · 2020
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83 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Huan LiTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Xiaochen XiangInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Hongwei RenTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Lingli XuTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Lisha ZhaoTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Xiaoqiong ChenTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Hui LongTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China. Electronic address: longhui@wust.edu.cn.
Qiang WangInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China. Electronic address: wangqiang@wust.edu.cn.
Qingming WuTianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China; Institute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China. Electronic address: wuhe9224@sina.com.
Wuhan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the significance of SAA in evaluating the severity and prognosis of COVID-19.

methodsA total of 132 patients with confirmed COVID-19 who were admitted to a designated COVID-19 hospital in Wuhan, China from January 18, 2020 to February 26, 2020 were collected. The dynamic changes of blood SAA, CRP, PCT, WBC, Lymphocyte (L), PLT, CT imaging, and disease progression were studied. All patients completed at least twice laboratory data collection and clinical condition assessment at three time points indicated for this study; The length of hospital stay was longer than 14 days prior to February 26, 2020.

resultsCOVID-19 patients had significantly increased SAA and CRP levels, while L count decreased, and PCT, WBC, and PLT were in the normal range. As disease progressed from mild to critically severe, SAA and CRP gradually increased, while L decreased, and PLT, WBC, and PCT had no significant changes; ROC curve analysis suggests that SAA/L, CRP, SAA, and L count are valuable in evaluating the severity of COVID-19 and distinguishing critically ill patients from mild ones; Patients with SAA consistently trending down during the course of disease have better prognosis, compared with the patients with SAA continuously rising; The initial SAA level is positively correlated with the dynamic changes of the serial CT scans. Patient with higher initial SAA level are more likely to have poor CT imaging.

conclusionsSAA and L are sensitive indicators in evaluating the severity and prognosis of COVID-19. Monitoring dynamic changes of SAA, combined with CT imaging could be valuable in diagnosis and treatment of COVID-19.

Indexed as

AdultAgedAged, 80 and overBetacoronavirusBiomarkersChinaCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralPrognosisRetrospective StudiesBiomarkersSerum Amyloid A ProteinComputed tomography imagingCoronavirus Disease 2019C-reactive proteinLymphocyteSerum amyloid ASeverity

Identifiers

PMID32277967
PMCPMC7141628
OpenAlexW3015410891

What OpenQuestion holds

Textmetadata
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.