Evidence map›Paper›PMID 33308159›Full record

ArticleBMC infectious diseases2020

Temporal changes in laboratory markers of survivors and non-survivors of adult inpatients with COVID-19.

Song-Mao Ouyang, Hong-Quan Zhu, Ying-Na Xie, Zhi-Sheng Zou, Hui-Min Zuo, Yun-Wei Rao, Xiao-Yan Liu, Bin Zhong, Xin Chen

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
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  12. Observational
  13. Carbon dioxide and MAPK signalling: towards therapy for inflammation.Cell communication and signaling : CCS · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Song-Mao OuyangDepartment of Intensive Medicine, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, 341000, China.
Hong-Quan ZhuDepartment of Intensive Medicine, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, 341000, China.
Ying-Na XieDepartment of Pathogenic Biology, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, 341000, China.
Zhi-Sheng ZouDepartment of Intensive Medicine, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, 341000, China.
Hui-Min ZuoDepartment of Respiratory, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, 341000, China.
Yun-Wei RaoDepartment of Respiratory, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, 341000, China.
Xiao-Yan LiuDepartment of Respiratory, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, 341000, China.
Bin ZhongDepartment of Pharmacy, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, 341000, China.
Xin ChenDepartment of Pathogenic Biology, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, 341000, China. baiyjqqq@126.com.ORCID http://orcid.org/0000-0002-8980-7032
First Affiliated Hospital of Gannan Medical University · CNGannan Medical University · CN

Funding

National Natural Science Foundation of China 81902106Natural Science Foundation of Jiangxi Province (CN) 20202BABL216083Talents' Start-up Foundation of Gannan Medical University QD201806
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2, and outbreaks have occurred worldwide. Laboratory test results are an important basis for clinicians to determine patient condition and formulate treatment plans.

methodsFifty-two thousand six hundred forty-four laboratory test results with continuous values of adult inpatients who were diagnosed with COVID-19 and hospitalized in the Fifth Hospital in Wuhan between 16 January 2020 and 18 March 2020 were compiled. The first and last test results were compared between survivors and non-survivors with variance test or Welch test. Laboratory test variables with significant differences were then included in the temporal change analysis.

resultsAmong 94 laboratory test variables in 82 survivors and 25 non-survivors with COVID-19, white blood cell count, neutrophil count/percentage, mean platelet volume, platelet distribution width, platelet-large cell percentage, hypersensitive C-reactive protein, procalcitonin, D-dimer, fibrin (ogen) degradation product, middle fluorescent reticulocyte percentage, immature reticulocyte fraction, lactate dehydrogenase were significantly increased (P < 0.05), and lymphocyte count/percentage, monocyte percentage, eosinophil percentage, prothrombin activity, low fluorescent reticulocyte percentage, plasma carbon dioxide, total calcium, prealbumin, total protein, albumin, albumin-globulin ratio, cholinesterase, total cholesterol, nonhigh-density/low-density/small-dense-low-density lipoprotein cholesterol were significantly decreased in non-survivors compared with survivors (P < 0.05), in both first and last tests. Prothrombin time, prothrombin international normalized ratio, nucleated red blood cell count/percentage, high fluorescent reticulocyte percentage, plasma uric acid, plasma urea nitrogen, cystatin C, sodium, phosphorus, magnesium, myoglobin, creatine kinase (isoenzymes), aspartate aminotransferase, alkaline phosphatase, glucose, triglyceride were significantly increased (P < 0.05), and eosinophil count, basophil percentage, platelet count, thrombocytocrit, antithrombin III, red blood cell count, haemoglobin, haematocrit, total carbon dioxide, acidity-basicity, actual bicarbonate radical, base excess in the extracellular fluid compartment, estimated glomerular filtration rate, high-density lipoprotein cholesterol, apolipoprotein A1/ B were significantly decreased in non-survivors compared with survivors (P < 0.05), only in the last tests. Temporal changes in 26 variables, such as lymphocyte count/percentage, neutrophil count/percentage, and platelet count, were obviously different between survivors and non-survivors.

conclusionsBy the comprehensive usage of the laboratory markers with different temporal changes, patients with a high risk of COVID-19-associated death or progression from mild to severe disease might be identified, allowing for timely targeted treatment.

Indexed as

BiomarkersCOVID-19C-Reactive ProteinFemaleFibrin Fibrinogen Degradation ProductsHumansInpatientsLeukocyte CountLymphocyte CountMaleMiddle AgedNeutrophilsPandemicsProcalcitoninRetrospective StudiesSARS-CoV-2BiomarkersC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DProcalcitoninClinical characteristicsCOVID-19Laboratory testsSARS-CoV − 2Temporal changes

Identifiers

PMID33308159
PMCPMC7729703
OpenAlexW3112941164

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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.