Evidence map›Paper›PMID 39804548›Full record

ArticleAnnals of intensive care2025

Time-varying intensity of ventilatory inefficiency and mortality in patients with acute respiratory distress syndrome.

Lianlian Jiang, Hui Chen, Wei Chang, Qin Sun, Xueyan Yuan, Zongsheng Wu, Jianfeng Xie, Ling Liu, Yi Yang

Abstract read
In one paragraph

Article in Annals of intensive care, 2025. 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
–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.

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.

  1. Article
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  3. Review
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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

9 authors.

Lianlian JiangJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Hui ChenJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Wei ChangJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Qin SunJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Xueyan YuanJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Zongsheng WuJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Jianfeng XieJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Ling LiuJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
Yi YangJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China. yiyiyang2004@163.com.ORCID http://orcid.org/0000-0003-1661-3568

Funding

Jiangsu Provincial Key Research and Development Program BE2022854Key Technologies Research and Development Program 2021YFC2500804Key Technologies Research and Development Program 2022YFC2504400
6 · The paper itself

Abstract

backgroundThe association between bedside ventilatory parameters-specifically arterial carbon dioxide pressure (PaCO

methodsWe conducted a secondary analysis of four randomized controlled trials (FACTT, ALTA, EDEN, and SAILS) from the ARDS Network. All included patients were intubated and received mechanical ventilation. Patients were excluded if they underwent extracorporeal life support or were on mechanical ventilation for less than one day. The primary outcome was 28-day mortality. Bayesian joint models were employed to estimate the strength of associations over time.

resultsA total of 2,851 patients were included in our analysis. The overall 28-day mortality rate was 21.3%, with a median duration of invasive mechanical ventilation of 9 days (IQR: 4-28 days). After adjustment, each daily increment in PaCO

conclusionVR, which reflects ventilatory inefficiency, should be closely monitored during invasive mechanical ventilation. Cumulative exposure to high intensities of VR may be associated with increased mortality in patients with ARDS.

Indexed as

Acute respiratory distress syndromeArterial carbon dioxide pressureMechanical ventilationVentilatory ratio

Identifiers

PMID39804548
PMCPMC11729588

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Registered trials

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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.