Evidence map›Paper›PMID 32361327›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2020

Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China.

Jun Zhang, Miao Yu, Song Tong, Lu-Yu Liu, Liang-V Tang

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

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 16 pooled it
3.7field-weighted citation impact, top 4% 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

73 citing papers in PubMed, 16 syntheses or guidelines pooled it, 150 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Why do men have worse COVID-19-related outcomes? A systematic review and meta-analysis with sex adjusted for age.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection.Clinica chimica acta; international journal of clinical chemistry · 2020
    Pooled it
  17. Trial
  18. Article
  19. Article
  20. Role of epinephrine in attenuating cytokine storm, decreasing ferritin, and inhibiting ferroptosis in SARS-CoV-2.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024
    Article

13 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Jun ZhangDepartment of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Miao YuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Song TongDepartment of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Lu-Yu LiuDepartment of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Liang-V TangInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. Electronic address: lancet.tang@qq.com.
Union Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear.

objectiveAttempted to determine the predictive factors for the poor outcomes of patients with COVID-19. STUDY

designThis is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared.

resultsAmong these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47-0.63] vs 1.30 G/L [0.95-1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00-5.00] vs 4.00 [2.00-5.00]), serum C-reactive protein (CRP, 79.52 mg/L [61.25-102.98] vs 7.93 mg/L [3.14-22.50]), IL-6 (35.72 pg/mL [9.24-85.19] vs 5.09 pg/mL [3.16-9.72]), and IL-10 (5.35 pg/mL [4.48-7.84] vs 3.97 pg/mL [3.34-4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8-342.1]), comorbidity (OR, 52.6 [3.6-776.4]), lymphopenia (OR, 17.3 [1.1-261.8]), and elevated CRP (OR, 96.5 [4.6-2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients.

conclusionsThis finding would facilitate the early identification of high-risk COVID-19 patients.

Indexed as

Disease ProgressionAdultAgedAged, 80 and overBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19C-Reactive ProteinCytokinesFemaleHospitalizationHumansLymphocyte CountMaleMiddle AgedC-Reactive ProteinCytokinesCoronavirus disease 2019Predictive factorsPrognosis

Identifiers

PMID32361327
PMCPMC7187844
OpenAlexW3020501159

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.