Evidence map›Paper›PMID 37932725›Full record

ArticleBMC pulmonary medicine2023

A prediction model for acute respiratory distress syndrome in immunocompetent adults with adenovirus-associated Pneumonia: a multicenter retrospective analysis.

Fengyu Lin, Qianhui Zhou, Wen Li, Wenchao Xiao, Sha Li, Ben Liu, Haitao Li, Yanhui Cui, Rongli Lu, Yi Li and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Challenges and opportunities in the management of severe pneumonia. Key concepts from the Seventh Annual Meeting of Spanish Experts 2025.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
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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

12 authors at 5 institutions in 1 country.

Fengyu LinDepartment of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China.
Qianhui ZhouDepartment of Respiratory Medicine, Zhuzhou Central Hospital, Zhuzhou, China.
Wen LiDepartment of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China.
Wenchao XiaoDepartment of Cardiology, Yiyang Central Hospital, Yiyang, China.
Sha LiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Ben LiuDepartment of Emergency Medicine, Xiangya Hospital, Central South University, Changsha, China.
Haitao LiFirst Department of Thoracic Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, Changsha, China.
Yanhui CuiDepartment of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China.
Rongli LuDepartment of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China. lurongli@csu.edu.cn.
Yi LiDepartment of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China. liyiwx2010@csu.edu.cn.
Yan ZhangDepartment of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China. zhangy4290@csu.edu.cn.
Pinhua PanDepartment of Respiratory Medicine, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, National Key Clinical Specialty, Central South University, Changsha, China. pinhuapan668@csu.edu.cn.
Central South University · CNHunan Provincial Center for Disease Control and Prevention · CNXiangya Hospital Central South University · CNYichang Central People's Hospital · CNZhuzhou Central Hospital · CN

Funding

Key R&D Program of Hunan Province 2022SK2038National Natural Science Foundation of China 82000089National Natural Science Foundation of China 82200099Project Program of central south university graduate education teaching reform No.2022JGB025the China Postdoctoral Science Foundation 020M670104ZXthe National Key Clinical Specialist Construction Programs of China z047-02the Natural Science Foundation of Hunan Province,China 2022JJ40800the Project Program of the National Clinical Research Center for Geriatric Disorders 2020LNJJ05The Scientific Research Program of FuRong Laboratory 2023SK2101
6 · The paper itself

Abstract

backgroundIn recent years, the number of human adenovirus (HAdV)-related pneumonia cases has increased in immunocompetent adults. Acute respiratory distress syndrome (ARDS) in these patients is the predominant cause of HADV-associated fatality rates. This study aimed to identify early risk factors to predict early HAdV-related ARDS.

methodsData from immunocompetent adults with HAdV pneumonia between June 2018 and May 2022 in ten tertiary general hospitals in central China was analyzed retrospectively. Patients were categorized into the ARDS group based on the Berlin definition. The prediction model of HAdV-related ARDS was developed using multivariate stepwise logistic regression and visualized using a nomogram.

resultsOf 102 patients with adenovirus pneumonia, 41 (40.2%) developed ARDS. Overall, most patients were male (94.1%), the median age was 38.0 years. Multivariate logistic regression showed that dyspnea, SOFA (Sequential Organ Failure Assessment) score, lactate dehydrogenase (LDH) and mechanical ventilation status were independent risk factors for this development, which has a high mortality rate (41.5%). Incorporating these factors, we established a nomogram with good concordance statistics of 0.904 (95% CI 0.844-0.963) which may help to predict early HAdV-related ARDS.

conclusionA nomogram with good accuracy in the early prediction of ARDS in patients with HAdV-associated pneumonia may could contribute to the early management and effective treatment of severe HAdV infection.

Indexed as

Adenoviruses, HumanPneumonia, ViralRespiratory Distress SyndromeAdultFemaleHumansMaleOrgan Dysfunction ScoresRetrospective StudiesAcute respiratory distress syndromeAdenovirus PneumoniaARDSHAdV-related ARDSHAdVsSevere HAdV Infection

Identifiers

PMID37932725
PMCPMC10629070
OpenAlexW4388425382

What OpenQuestion holds

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LicenceCC BY
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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.