Evidence map›Paper›PMID 33841931›Full record

ArticleJournal of thoracic disease2021

Early identification of patients with severe COVID-19 at increased risk of in-hospital death: a multicenter case-control study in Wuhan.

Wei Zhou, Yisi Liu, Beibei Xu, Sa Wang, Shusheng Li, Hong Liu, Ziting Huang, Yan Luo, Ming Hu, Wenjuan Wu and 14 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
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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

24 authors at 8 institutions in 2 countries.

Wei ZhouDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Yisi LiuSchool of Nursing, Capital Medical University, Beijing, China.
Beibei XuMedical Informatics Center, Peking University Health Science Center, Beijing, China.
Sa WangEmergency department, The Second affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Shusheng LiEmergency and Intensive Care Unit, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hong LiuDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Ziting HuangMedical Informatics Center, Peking University Health Science Center, Beijing, China.
Yan LuoMedical Informatics Center, Peking University Health Science Center, Beijing, China.
Ming HuIntensive Care Unit, Wuhan Pulmonary Hospital, Wuhan, China.
Wenjuan WuIntensive Care Unit, Jinyintan Hospital, Wuhan, China.
Zhanguo ZhangHepatobiliary surgery Unit, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xin LongHepatobiliary surgery Unit, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wenbin ZouThoracic Surgery Unit, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yi BianEmergency and Intensive Care Unit, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaojing ZouEmergency and Intensive Care Unit, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Malcolm ElliottSchool of Nursing & Midwifery, Monash University, Melbourne, Australia.
Lanxin YueDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Huifang DengDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Hairong ChenSchool of Nursing, Capital Medical University, Beijing, China.
Xueli GaoSchool of Nursing, Capital Medical University, Beijing, China.
Ying WuSchool of Nursing, Capital Medical University, Beijing, China.
Minghao FangEmergency and Intensive Care Unit, Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Boli ZhangTianjin University of Traditional Chinese Medicine, Tianjin, China.
Yue GaoDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
Capital Medical University · CNTongji Hospital · CNPeking University · CNHuazhong University of Science and Technology · CNJinyintan Hospital · CNMonash University · AUSecond Affiliated Hospital of Zhejiang University · CNWuhan Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost evidence regarding the risk factors for early in-hospital mortality in patients with severe COVID-19 focused on laboratory data at the time of hospital admission without adequate adjustment for confounding variables. A multicenter, age-matched, case-control study was therefore designed to explore the dynamic changes in laboratory parameters during the first 10 days after admission and identify early risk indicators for in-hospital mortality in this patient cohort.

methodsDemographics and clinical data were extracted from the medical records of 93 pairs of patients who had been admitted to hospital with severe COVID-19. These patients had either been discharged or were deceased by March 3, 2020. Data from days 1, 4, 7, and 10 of hospital admission were compared between survivors and non-survivors. Univariate and multivariate conditional logistic regression analyses were employed to identify early risk indicators of in-hospital death in this cohort.

resultsOn admission, in-hospital mortality was associated with five risk indicators (ORs in descending order): aspartate aminotransferase (AST, >32 U/L) 43.20 (95% CI: 2.63, 710.04); C-reactive protein (CRP) greater than 100 mg/L 13.61 (1.78, 103.941); lymphocyte count lower than 0.6×10

conclusionsThe potential risk factors of high D-dimer, CRP, AST, low lymphocyte count and OI could help clinicians identify patients at high risk of death early in the hospital admission. This might assist with rationalization of health care resources.

Indexed as

case-controlCOVID-19early risk indicatorin-hospital mortalitysevere

Identifiers

PMID33841931
PMCPMC8024856
OpenAlexW3135134316

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.