Evidence map›Paper›PMID 33435865›Full record

Observational studyBMC infectious diseases2021

Clinical characteristics and predictive value of lower CD4

Xue-Song Wen, Dan Jiang, Lei Gao, Jian-Zhong Zhou, Jun Xiao, Xiao-Cheng Cheng, Bin He, Yue Chen, Peng Lei, Xiao-Wei Tan and 2 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04292964 (Prognostic Factors of Patients With COVID-19), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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.

NCT04292964 completednot on this map

Prognostic Factors of Patients With COVID-19

TypeobservationalSponsorChongqing Medical UniversityRan2020 to 2020Enrolled201ConditionsSARS-CoV-2, Outcome, Fatal
3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Trial
  2. Trial
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. rs71327024 Associated with COVID-19 Hospitalization ReducesInternational journal of molecular sciences · 2023
    Article
  14. CD4Infectious diseases & clinical microbiology · 2023
    Article
  15. Observational
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

12 authors.

Xue-Song WenDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Dan JiangDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Lei GaoDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Jian-Zhong ZhouDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Jun XiaoDepartment of Cardiovascular Medicine, Chongqing University Center Hospital, Chongqing, 400014, China.
Xiao-Cheng ChengDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Bin HeDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Yue ChenDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Peng LeiDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Xiao-Wei TanDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Shu QinDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China.
Dong-Ying ZhangDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, No 1, Youyi Road, Chongqing, 400016, China. zhangdongying@cqmu.edu.cn.

Funding

National Natural Science Foundation of China 31800976National Natural Science Foundation of China 81570212National Natural Science Foundation of China (CN) 81970203
6 · The paper itself

Abstract

backgroundIn December 2019, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei, China. Moreover, it has become a global pandemic. This is of great value in describing the clinical symptoms of COVID-19 patients in detail and looking for markers which are significant to predict the prognosis of COVID-19 patients.

methodsIn this multicenter, retrospective study, 476 patients with COVID-19 were enrolled from a consecutive series. After screening, a total of 395 patients were included in this study. All-cause death was the primary endpoint. All patients were followed up from admission till discharge or death.

resultsThe main symptoms observed in the study included fever on admission, cough, fatigue, and shortness of breath. The most common comorbidities were hypertension and diabetes mellitus. Patients with lower CD4

conclusionsReductions in lymphocytes and lymphocyte subsets were common in COVID-19 patients, especially in severe cases of COVID-19. It was the CD8

trial registrationPrognostic Factors of Patients With COVID-19, NCT04292964 . Registered 03 March 2020. Retrospectively registered.

Indexed as

AdultAgedCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesComorbidityCOVID-19FemaleFollow-Up StudiesHospitalizationHumansLymphocyte CountMaleMiddle AgedPandemicsPatient DischargePrognosisCD4+T cellsCOVID-19In-hospital deathSARS-CoV-2

Identifiers

PMID33435865
PMCPMC7803000

What OpenQuestion holds

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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.