Evidence map›Paper›PMID 37308904›Full record

ArticleTrials2023

Effect of post-extubation high-flow nasal cannula combined with respiratory training versus conventional oxygen therapy on postoperative pulmonary complications in patients after major abdominal surgery: protocol for a single-centre randomized controlled trial.

Biao Jin, Mengjing Yao, Wenjuan Shen, Le Fu, Ping Liu, Xu Zheng, Tiexiang Zhan, Liang Luo

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2023. 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
1.3field-weighted citation impact, top 18% 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.

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, 5 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Biao Jin *Department of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China.
Mengjing Yao *Department of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China.
Wenjuan ShenDepartment of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China.
Le FuDepartment of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China.
Ping LiuDepartment of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China.
Xu ZhengDepartment of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China.
Tiexiang ZhanDepartment of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China.
Liang LuoDepartment of Intensive Care, The Seventh Affiliated Hospital, Sun Yet-Sen University, ShenZhen, China. luoliang@mail.sysu.edu.cn.
Sun Yat-sen University · CNThe Seventh Affiliated Hospital of Sun Yat-sen University · CN

Funding

The Seventh Affiliated Hospital, Sun Yat-sen University Sun Yat-sen University Clinical Research 735 ProgramThe Seventh Affiliated Hospital, Sun Yat-sen University The Seventh Affiliated Hospital
6 · The paper itself

Abstract

backgroundNearly 234 million patients undergo surgery each year, and 1.3 million among them develop complications. Patients undergoing major upper abdominal surgery (operation time > 2 h) have a really high incidence of postoperative pulmonary complications (PPCs). The occurrence of PPCs seriously affects the outcomes of patients. High-flow nasal cannula (HFNC) is as effective as noninvasive ventilation (NIV) in preventing postoperative hypoxaemia and respiratory failure. Respiratory training using positive expiratory pressure (PEP) Acapella (Choice) has been shown to help patients with rapid recovery from postoperative atelectasis. However, no relevant randomized controlled studies have been conducted to clarify the effect of HFNC combined with respiratory training in the prevention of PPCs. This study aims to investigate whether the use of HFNC combined with respiratory training could reduce the incidence of PPCs within 7 days after major upper abdominal surgery compared to that with conventional oxygen therapy (COT).

methodsThis is a randomized controlled single-centre trial. A total of 328 patients who undergo major abdominal surgery will be included. Subjects who fulfil the eligible criteria will be randomly assigned into the combination treatment group (Group A) or COT group (Group B) after extubation. The interventions will begin within 30 min of extubation. Patients in Group A will receive HFNC for at least 48 h and respiratory training three times a day for at least 72 h. Patients in Group B will receive oxygen therapy through a nasal catheter or mask for at least 48 h. Our primary endpoint is the incidence of PPCs within 7 days, and the secondary outcome measures include 28-day mortality, reintubation rate, length of hospital stay, and all-cause mortality within 1 year. DISCUSSION: This trial would help provide evidence on the effectivity of applying HFNC combined with respiratory training for the prevention of PPCs in patients undergoing major upper abdominal surgery. The objective of this study is to determine the optimal treatment approach to improve the prognosis of patients undergoing surgery.

trial registrationChiCTR2100047146. Registered on 8 June 2021. Retrospectively registered.

Indexed as

CannulaOxygenAbdomenAirway ExtubationHumansOxygen Inhalation TherapyPostoperative ComplicationsRandomized Controlled Trials as TopicOxygenConventional oxygen therapyHigh-flow nasal cannulaMajor upper abdominal surgeryPostoperative pulmonary complicationsRandomized controlled trial

Identifiers

PMID37308904
PMCPMC10262414
OpenAlexW4380355397

What OpenQuestion holds

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LicenceCC BY
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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.