Evidence map›Paper›PMID 32893398›Full record

Observational studyJournal of clinical laboratory analysis2020

Predictive criteria of severe cases in COVID-19 patients of early stage: A retrospective observational study.

Jinrui Gao, Xiu Huang, Haibo Gu, Lingyun Lou, Zhihao Xu

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Usefulness of laboratory parameters and chest CT in the early diagnosis of COVID-19.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022
    Article
  7. Article
  8. Article
  9. A simple and readily available inflammation-based risk scoring system on admission predicts the need for mechanical ventilation in patients with COVID-19.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2021
    Article
  10. Review
  11. Observational
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

5 authors.

Jinrui GaoDepartment of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China.ORCID https://orcid.org/0000-0001-9993-1136
Xiu HuangDepartment of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China.
Haibo GuDepartment of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China.
Lingyun LouDepartment of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China.
Zhihao XuDepartment of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China.

Funding

Jinhua special scientific research fund for COVID-19 prevention and control 2020XG-31Zhejiang University special scientific research fund for COVID-19 prevention and control 2020XGZX069
6 · The paper itself

Abstract

backgroundPatients with coronavirus disease 2019 (COVID-19) often suffer sudden deterioration of disease around 1-2 weeks after onset. Once the disease progressed to severe phase, clinical prognosis of patients will significantly deteriorate.

methodsThis was a multicenter retrospective study on patients of all adult inpatients (≥18 years old) from Tianyou Hospital (Wuhan, China) and the Fourth Affiliated Hospital, Zhejiang University School of Medicine. All 139 patients had laboratory-confirmed COVID-19 in their early stage, which is defined as within 7 days of clinical symptoms. Univariate and multivariate logistic regression models were used to determine the predictive factors in the early detection of patients who may subsequently develop into severe cases.

resultsMultivariable logistic regression analysis showed that the higher level of hypersensitivity C-reactive protein (OR = 4.77, 95% CI:1.92-11.87, P = .001), elevated alanine aminotransferase (OR = 6.87, 95%CI:1.56-30.21, P = .011), and chronic comorbidities (OR = 11.48, 95% CI:4.44-29.66, P < .001) are the determining risk factors for the progression into severe pneumonia in COVID-19 patients.

conclusionEarly COVID-19 patients with chronic comorbidities, elevated hs-CRP or elevated ALT are significantly more likely to develop severe pneumonia as the disease progresses. These risk factors may facilitate the early diagnosis of critical patients in clinical practice.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralAdultAgedBetacoronavirusChinaCOVID-19Critical IllnessCytokine Release SyndromeEarly DiagnosisFemaleHumansMaleMiddle AgedPredictive Value of TestsCOVID-19cytokine stormlaboratory parameterrisk factorsSARS-CoV-2

Identifiers

PMID32893398
PMCPMC7595922

What OpenQuestion holds

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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.