Evidence map›Paper›PMID 31849894›Full record

ArticleFrontiers in microbiology2019

Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score.

Lingxi Guo, Dong Wei, Xinxin Zhang, Yurong Wu, Qingyun Li, Min Zhou, Jieming Qu

Erratum issued 2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 240 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed, 5 pooled it
60.8field-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.

NCT04395482 completednot on this mapstarted 2020, after this paper: background citation

Lung CT Scan Analysis of SARS-CoV2 Induced Lung Injury by Machine Learning: a Multicenter Retrospective Cohort Study.

TypeobservationalSponsorUniversity of Milano BicoccaRan2020 to 2022Enrolled44Conditionscovid19ArmsLung CT scan analysis in COVID-19 patients
NCT05200767 completednot on this mapstarted 2022, after this paper: background citation

The Level of Usual Physical Activity and Its Impact on the Course of COVID-19 in Hospitalized Patients.

TypeobservationalSponsorWroclaw Medical UniversityRan2022 to 2022Enrolled140ConditionsCOVID-19Armscompleting surveys
3 · Its place in the literature

Who cites it

240 citing papers in PubMed, 5 syntheses or guidelines pooled it, 457 citations in OpenAlex.

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  13. The Systemic Inflammation Response Index (SIRI) for Stratifying Mortality Risk in Multidrug-Resistant Lower Respiratory Tract Infections Acquired in Hospital Settings.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
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180 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Lingxi GuoDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Dong WeiResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinxin ZhangResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yurong WuDepartment of Respiratory Medicine, The Third People's Hospital of Zhengzhou, Henan, China.
Qingyun LiDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Min ZhouDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jieming QuDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruijin Hospital · CNShanghai Jiao Tong University · CNZhengzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to further clarify clinical characteristics and predict mortality risk among patients with viral pneumonia.

methodsA total of 528 patients with viral pneumonia at RuiJin hospital in Shanghai from May 2015 to May 2019 were recruited. Multiplex real-time RT-PCR was used to detect respiratory viruses. Demographic information, comorbidities, routine laboratory examinations, immunological indexes, etiological detections, radiological images and treatment were collected on admission.

results76 (14.4%) patients died within 90 days in hospital. A predictive MuLBSTA score was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included multilobular infiltrates (OR = 5.20, 95% CI 1.41-12.52,

conclusionHere, we designed an easy-to-use clinically predictive tool for assessing 90-day mortality risk of viral pneumonia. It can accurately stratify hospitalized patients with viral pneumonia into relevant risk categories and could provide guidance to make further clinical decisions.

Indexed as

bacterial coinfectionclinical featurepredicting mortalitypredictive score modelvirus pneumonia

Identifiers

PMID31849894
PMCPMC6901688
OpenAlexW2991899552

What OpenQuestion holds

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LicenceCC BY
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.