Evidence map›Paper›PMID 32436996›Full record

ArticleJournal of medical virology2020

The value of clinical parameters in predicting the severity of COVID-19.

Weifeng Shang, Junwu Dong, Yali Ren, Ming Tian, Wei Li, Jianwu Hu, Yuanyuan Li

Registry-linked trialOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04409899 (The Utility of Enhanced Pre- and Post-surgical Protocols to Prevent the Spread of COVID-19 in a Large Urological Department), which is not on this map. Cited by 121 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 14 pooled it
6.6field-weighted citation impact, top 2% 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.

NCT04409899 unknown statusnot on this map

The Utility of Enhanced Pre- and Post-surgical Protocols to Prevent the Spread of COVID-19 in a Large Urological Department (UroCovid Study)

TypeobservationalSponsorFundacio PuigvertRan2020 to 2020Enrolled300ConditionsCOVID-19, Urologic Diseases, Surgery--Complications, Epidemic DiseaseArmsBlood tests
3 · Its place in the literature

Who cites it

121 citing papers in PubMed, 14 syntheses or guidelines pooled it, 281 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

61 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

7 authors at 1 institution in 1 country.

Weifeng ShangDepartment of Nephrology, Wuhan Forth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Junwu DongDepartment of Nephrology, Wuhan Forth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yali RenDepartment of Medical Affaires, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ming TianDepartment of Nephrology, Wuhan Forth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wei LiDepartment of Nephrology, Wuhan Forth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianwu HuDepartment of Respiratory Medicine, Wuhan Forth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuanyuan LiDepartment of Respiratory Medicine, Wuhan Forth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-6244-4470
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study the relationship between clinical indexes and the severity of coronavirus disease 2019 (COVID-19), and to explore its role in predicting the severity of COVID-19. Clinical data of 443 patients with COVID-19 admitted to our hospital were retrospectively analyzed, which were divided into nonsevere group (n = 304) and severe group (n = 139) according to their condition. Clinical indicators were compared between different groups. The differences in sex, age, the proportion of patients with combined heart disease, leukocyte, neutrophil-to-lymphocyte ratio (NLR), neutrophil, lymphocyte, platelet, D-dimer, C-reactive protein (CRP), procalcitonin, lactate dehydrogenase, and albumin on admission between the two groups were statistically significant (P  <  .05). Multivariate logistic regression analysis showed NLR and CRP were independent risk factors for severe COVID-19. Platelets were independent protective factors for severe COVID-19. The receiver operating characteristic (ROC) curve analysis demonstrated area under the curve of NLR, platelet, CRP, and combination was 0.737, 0.634, 0.734, and 0.774, respectively. NLR, CRP, and platelets can effectively assess the severity of COVID-19, among which NLR is the best predictor of severe COVID-19, and the combination of three clinical indicators can further predict severe COVID-19.

Indexed as

AdultAgedAntiviral AgentsBiomarkersBlood PlateletsChinaComorbidityCOVID-19C-Reactive ProteinDiabetes MellitusFemaleFibrin Fibrinogen Degradation ProductsHeart DiseasesHumansHypertensionLymphocytesAntiviral AgentsBiomarkersC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DProcalcitoninclinical characteristicscoronavirus disease 2019COVID-19novel coronavirus pneumonia

Identifiers

PMID32436996
PMCPMC7280691
OpenAlexW3026407766

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.