Evidence map›Paper›PMID 32631414›Full record

ArticleTrials2020

Effects of intraoperative individualized PEEP on postoperative atelectasis in obese patients: study protocol for a prospective randomized controlled trial.

Chen Zhu, Jing-Wen Yao, Li-Xin An, Ya-Fan Bai, Wen-Jing Li

2 registry-linked trialsOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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.

NCT05508997 nacompletednot on this mapstarted 2021, after this paper: background citation

Response of Respiratory and Hemodynamic Parameters to Positive End-Expiratory Pressure Titration for Mechanically Ventilated Obese Patients: A Randomized Clinical Trial

TypeinterventionalSponsorHeidy F. AhmedRan2021 to 2022Enrolled60ConditionsObesity Associated DisorderArmsrespiratory parameters on mechanical ventilator (PEEP)
NCT05554536 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Evaluation of Regional Lung Mechanics in Obese Patients Undergoing Laparoscopic Surgery Using Electrical Impedance Tomography

TypeinterventionalSponsorUniversità degli Studi di FerraraRan2022 to 2023Enrolled30ConditionsObesity, Mechanical Ventilation Pressure High, Intraoperative Respiratory InjuryArmsPEEP titration trial
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Chen ZhuDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Jing-Wen YaoDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Li-Xin AnDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China. anlixin8120@163.com.ORCID http://orcid.org/0000-0001-6344-4010
Ya-Fan BaiDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Wen-Jing LiDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObese patients undergoing general anesthesia and mechanical ventilation during laparoscopic abdominal surgery commonly have a higher incidence of postoperative pulmonary complications (PPCs), due to factors such as decreasing oxygen reserve, declining functional residual capacity, and reducing lung compliance. Pulmonary atelectasis caused by pneumoperitoneum and mechanical ventilation is further aggravated in obese patients. Recent studies demonstrated that individualized positive end-expiratory pressure (iPEEP) was one of effective lung-protective ventilation strategies. However, there is still no exact method to determine the best iPEEP, especially for obese patients. Here, we will use the best static lung compliance (Cstat) method to determine iPEEP, compared with regular PEEP, by observing the atelectasis area measured by electrical impedance tomography (EIT), and try to prove a better iPEEP setting method for obese patients.

methodsThis study is a single-center, two-arm, prospective, randomized control trial. A total number of 80 obese patients with body mass index ≥ 32.5 kg/m DISCUSSION: Although there are several studies about the effect of iPEEP titration on perioperative PPCs in obese patients recently, the iPEEP setting method they used was complex and was not always feasible in routine clinical practice. This trial will assess a possible simple method to determine individualized optimal PEEP in obese patients and try to demonstrate that individualized PEEP with lung-protective ventilation methods is necessary for obese patients undergoing general surgery. The results of this trial will support anesthesiologist a feasible Cstat-directed PEEP titration method during anesthesia for obese patients in attempt to prevent PPCs.

trial registrationwww.chictr.org.cn ChiCTR1900026466. Registered on 11 October 2019.

Indexed as

AbdomenAnesthesia, GeneralBody Mass IndexCytokinesHumansIntraoperative CareLaparoscopyLength of StayLungObesityPositive-Pressure RespirationPostoperative ComplicationsProspective StudiesPulmonary AtelectasisRandomized Controlled Trials as TopicTidal VolumeCytokinesAtelectasisCstatElectrical impedance tomographyIndividualized PEEPObesity

Identifiers

PMID32631414
PMCPMC7338115
OpenAlexW3038908876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.