Evidence map›Paper›PMID 40358644›Full record

ArticleInternational journal of surgery (London, England)2025

Comparison of clinical characteristics of different ventilation devices for one-lung ventilation in adults: a network meta-analysis.

Haisu Li, Hezhi Wang, Conglan Wang, Yuhan Huang, Rui Yuan, Xiaoyi Zhao, Ying Xu

Abstract readComparative StudyNetwork Meta-Analysis
In one paragraph

Article in International journal of surgery (London, England), 2025. 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

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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Bayesian statistics: a primer for perioperative medicine clinicians.Perioperative medicine (London, England) · 2026
    Article
  5. Review
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.

Haisu LiDepartment of Anesthesiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.
Hezhi WangDepartment of Anesthesiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.
Conglan WangDepartment of Anesthesiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.
Yuhan HuangDepartment of Anesthesiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.
Rui YuanDepartment of Anesthesiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.
Xiaoyi ZhaoDepartment of Anesthesiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.
Ying XuDepartment of Anesthesiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDifferent ventilation devices, including double-lumen tube (DLT), video DLT (VDLT), and various bronchial blockers (BBs), were used for one-lung ventilation (OLV). This study aimed to assess the clinical characteristics of 12 OLV devices to identify the optimal ventilation strategy for different situations.

methodsPubMed, Embase, Web of Science, and the Cochrane Library were searched following the PICOS principle to retrieve relevant randomized controlled trials (RCTs) up to 18 November 2023. Network meta-analysis was conducted using R 4.3.2, StataSE15, and Review Manager 5.3 software to compare the clinical characteristics of these OLV devices, including the quality of lung collapse, malposition rate, time for device placement, the success of the first intubation attempt, postoperative sore throat, and hoarseness.

resultsIn summary, this study involved 33 RCTs with a total of 2177 patients to evaluate the clinical characteristics of 12 ventilation devices. Compared to the Arndt BB, DLT provided higher lung collapse quality and was less prone to malposition. According to the Ranking probabilities, the VDLT had a shorter placement time, while the Coopdech BB (CBB) had a higher success rate on the first intubation attempt. The Cohen Flex-Tip BB resulted in less hoarseness, and the CBB had a lower incidence of sore throat.

conclusionDLT demonstrated reliable lung collapse quality. VDLT allowed for quicker placement and continuous airway monitoring. BBs had fewer complications and were easier to place but had a higher risk of malposition. Therefore, choosing an OLV device depends on the patient's clinical status and surgical needs.

Indexed as

One-Lung VentilationAdultHumansRandomized Controlled Trials as Topicairway managementBayesian network meta-analysisbronchial blockerdouble lumen tubeone-lung ventilationvideo double lumen tube

Identifiers

PMID40358644
PMCPMC12165490

What OpenQuestion holds

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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.