Evidence map›Paper›PMID 41350525›Full record

ArticleScientific data2025

Clinical and ventilator waveforms of Chinese patients during pressure support ventilation.

Xiaozhu Liu, Peng Wang, Chenjia Hao, Ming-Yue Miao, Xu An, Shan-Shan Xu, Yuefu Wang, Hong-Liang Li, Zongmei Tian, Jian-Xin Zhou

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Xiaozhu LiuDepartment of Critical Care Medicine, Clinical and Research Center on Acute Lung Injury, Emergency and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Peng WangInformation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Chenjia HaoInformation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Ming-Yue MiaoDepartment of Critical Care Medicine, Clinical and Research Center on Acute Lung Injury, Emergency and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xu AnDepartment of Critical Care Medicine, Clinical and Research Center on Acute Lung Injury, Emergency and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Shan-Shan XuDepartment of Critical Care Medicine, Clinical and Research Center on Acute Lung Injury, Emergency and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yuefu WangSurgical Intensive Care Unit, Clinical and Research Center on Acute Lung Injury, Emergency and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hong-Liang LiDepartment of Critical Care Medicine, Clinical and Research Center on Acute Lung Injury, Emergency and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Zongmei TianInformation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jian-Xin ZhouDepartment of Critical Care Medicine, Clinical and Research Center on Acute Lung Injury, Emergency and Critical Care Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. zhoujx.cn@icloud.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of critical care medicine, accurate analysis of physiological waveform data is crucial for clinical decision-making. Although existing public databases provide a wealth of physiological waveform data, publicly available ventilator waveform data remain limited. We have established a publicly accessible clinical and ventilator waveform dataset that includes demographic, blood gas analysis, biochemical indicators, and high-resolution respiratory waveform data from critically ill patients. This dataset aims to provide a valuable resource for respiratory mechanics research and to offer stronger scientific support for future studies.

Indexed as

Respiration, ArtificialBlood Gas AnalysisChinaCritical IllnessEast Asian PeopleHumansVentilators, Mechanical

Identifiers

PMID41350525
PMCPMC12816147

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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.