Evidence map›Paper›PMID 38784763›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Esophageal pressure monitoring and its clinical significance in severe blast lung injury.

Shifeng Shao, Zhengbin Wu, Yi Wang, Yaoli Wang, Zhen Wang, Huan Ye, Hui Zhao

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Prediction of primary blast lung injury outcomes in goats using CT and injury factors.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  4. Brain Protective Ventilation Strategies in Severe Acute Brain Injury.Current neurology and neuroscience reports · 2025
    Review
  5. Article
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

7 authors.

Shifeng ShaoDepartment of ICU, Daping Hospital, Army Medical University, Chongqing, China.
Zhengbin WuDepartment of ICU, Daping Hospital, Army Medical University, Chongqing, China.
Yi WangThe Fifth Outpatient Clinic, Western Theater General Hospital, Chengdu, China.
Yaoli WangDepartment of ICU, Daping Hospital, Army Medical University, Chongqing, China.
Zhen WangDepartment of ICU, Daping Hospital, Army Medical University, Chongqing, China.
Huan YeDepartment of Rehabilitation, The Third People's Hospital of Chengdu, Chengdu, China.
Hui ZhaoInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of blast lung injury (BLI) has been escalating annually due to military conflicts and industrial accidents. Currently, research into these injuries predominantly uses animal models. Despite the availability of various models, there remains a scarcity of studies focused on monitoring respiratory mechanics post-BLI. Consequently, our objective was to develop a model for monitoring esophageal pressure (Pes) following BLI using a biological shock tube (BST), aimed at providing immediate and precise monitoring of respiratory mechanics parameters post-injury. Methods: Six pigs were subjected to BLI using a BST, during which Pes was monitored. We assessed vital signs; conducted blood gas analysis, hemodynamics evaluations, and lung ultrasound; and measured respiratory mechanics before and after the inflicted injury. Furthermore, the gross anatomy of the lungs 3 h post-injury was examined, and hematoxylin and eosin staining was conducted on the injured lung tissues for further analysis. Results: The pressure in the experimental section of the BST reached 402.52 ± 17.95 KPa, with a peak pressure duration of 53.22 ± 1.69 ms. All six pigs exhibited an anatomical lung injury score ≥3, and pathology revealed classic signs of severe BLI. Post-injury vital signs showed an increase in HR and SI, along with a decrease in MAP ( Conclusion: We have successfully developed a novel respiratory mechanics monitoring model for severe BLI. This model is reliable, repeatable, stable, effective, and user-friendly. Pes monitoring offers a non-invasive and straightforward alternative to blood gas analysis, facilitating early clinical decision-making. Our animal study lays the groundwork for the early diagnosis and management of severe BLI in clinical settings.

Indexed as

animal modelbiological shock tubeblast lung injuryesophageal pressure monitoringrespiratory mechanics

Identifiers

PMID38784763
PMCPMC11112033

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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.