Evidence map›Paper›PMID 32582575›Full record

ArticleFrontiers in cellular and infection microbiology2020

A Novel Scoring System for Prediction of Disease Severity in COVID-19.

Chi Zhang, Ling Qin, Kang Li, Qi Wang, Yan Zhao, Bin Xu, Lianchun Liang, Yanchao Dai, Yingmei Feng, Jianping Sun and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 9 pooled it
11.5field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 9 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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2 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

16 authors at 3 institutions in 2 countries.

Chi ZhangBeijing You'an Hospital, Capital Medical University, Beijing, China.
Ling QinBeijing You'an Hospital, Capital Medical University, Beijing, China.
Kang LiBeijing You'an Hospital, Capital Medical University, Beijing, China.
Qi WangBeijing You'an Hospital, Capital Medical University, Beijing, China.
Yan ZhaoBeijing You'an Hospital, Capital Medical University, Beijing, China.
Bin XuBeijing You'an Hospital, Capital Medical University, Beijing, China.
Lianchun LiangBeijing You'an Hospital, Capital Medical University, Beijing, China.
Yanchao DaiBeijing You'an Hospital, Capital Medical University, Beijing, China.
Yingmei FengBeijing You'an Hospital, Capital Medical University, Beijing, China.
Jianping SunBeijing You'an Hospital, Capital Medical University, Beijing, China.
Xuemei LiBeijing You'an Hospital, Capital Medical University, Beijing, China.
Zhongjie HuBeijing You'an Hospital, Capital Medical University, Beijing, China.
Haiping XiangBeijing You'an Hospital, Capital Medical University, Beijing, China.
Tao DongChinese Academy of Medical Science Oxford Institute (COI), University of Oxford, Oxford, United Kingdom.
Ronghua JinBeijing You'an Hospital, Capital Medical University, Beijing, China.
Yonghong ZhangBeijing You'an Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing YouAn Hospital · CNScience Oxford · GB

Funding

Medical Research Council MR/L018942/1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Severity of Illness IndexAgedAged, 80 and overBetacoronavirusChinaComorbidityCoronavirus InfectionsCOVID-19Disease ProgressionFemaleGlomerular Filtration RateHumansLeukocyte CountMaleMiddle AgedMyoglobinMyoglobinCOVID-19logistic regressionprediction scoring systemretrospective cohortseverity pneumonia

Identifiers

PMID32582575
PMCPMC7292148
OpenAlexW3029243274

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.