Evidence map›Paper›PMID 38926694›Full record

ArticleWorld journal of emergency surgery : WJES2024

Validation of continuous intraabdominal pressure measurement: feasibility and accuracy assessment using a capsular device in in-vivo studies.

Dong-Ru Ho, Chi-Tung Cheng, Chun-Hsiang Ouyang, Wei-Cheng Lin, Chien-Hung Liao

Abstract read
In one paragraph

Article in World journal of emergency surgery : WJES, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Dong-Ru Ho *Department of Urology, Chang Gung Memorial Hospita ChiaYi, 8, west section of Jiapu Road, Puzi, Chiayi, Taiwan.
Chi-Tung Cheng *Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Chang Gung University, Taoyuan, Taiwan.
Chun-Hsiang OuyangDepartment of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Chang Gung University, Taoyuan, Taiwan.
Wei-Cheng LinDepartment of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Chang Gung University, Taoyuan, Taiwan.
Chien-Hung LiaoDepartment of Trauma and Emergency Surgery, Chang Gung Memorial Hospital Linkou, Chang Gung University, Taoyuan, Taiwan. surgymet@gmail.com.

Funding

Chang Gung Memorial Hospital, Linkou CMRPG1M0051
6 · The paper itself

Abstract

backgroundMonitoring Intraabdominal Pressure (IAP) is essential in critical care, as elevated IAP can lead to severe complications, including Abdominal Compartment Syndrome (ACS). Advances in technology, such as digital capsules, have opened new avenues for measuring IAP non-invasively. This study assesses the feasibility and effectiveness of using a capsular device for IAP measurement in an animal model.

methodIn our controlled experiment, we anesthetized pigs and simulated elevated IAP conditions by infusing CO2 into the peritoneal cavity. We compared IAP measurements obtained from three different methods: an intravesical catheter (IAP

resultsThe capsular sensor (IAP

conclusionThe use of capsular sensors for continuous and accurate assessment of IAP marks a significant advancement in the field of critical care monitoring. The high correlation between measurements from different locations and methods underscores the potential of capsular devices to transform clinical practices by providing reliable, non-invasive IAP monitoring.

Indexed as

Feasibility StudiesIntra-Abdominal HypertensionAbdominal CavityAnimalsDisease Models, AnimalMonitoring, PhysiologicPressureReproducibility of ResultsSwineAbdominal compartment syndromeCapsular sensorDigital healthIntraabdominal pressure

Identifiers

PMID38926694
PMCPMC11201848

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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.