Evidence map›Paper›PMID 33603304›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2021

Mechanical Insufflation-exsufflation for the Prevention of Ventilator-associated Pneumonia in Intensive Care Units: A Retrospective Cohort Study.

Ryota Kuroiwa, Yoshihisa Tateishi, Taku Oshima, Takeshi Inagaki, Seiichiro Furukawa, Ryo Takemura, Yohei Kawasaki, Astushi Murata

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06491017 (Effects of Mechanical Insufflation-Exsufflation With Optimized Settings on Suctioned Wet Mucus Volume During Invasive Ventilation), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 22% 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.

NCT06491017 narecruitingnot on this mapstarted 2026, after this paper: background citation

Effects of Mechanical Insufflation-Exsufflation With Optimized Settings on Suctioned Wet Mucus Volume During Invasive Ventilation

TypeinterventionalSponsorHospital Clinic of BarcelonaRan2026 to 2028Enrolled26ConditionsMucus Retention, Mechanical Ventilation ComplicationArmsMI-E Intervention protocol, Standard MI-E setting
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Critical Care Nurses' Knowledge on Prevention of Ventilator-associated Pneumonia: A Cross-sectional Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  5. Article
  6. Review
  7. 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

8 authors at 3 institutions in 1 country.

Ryota KuroiwaDivision of Rehabilitation Medicine, Chiba University Hospital, Chiba, Japan.
Yoshihisa TateishiDepartment of Emergency and Critical Care Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Taku OshimaDepartment of Emergency and Critical Care Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Takeshi InagakiDivision of Rehabilitation Medicine, Chiba University Hospital, Chiba, Japan.
Seiichiro FurukawaDivision of Rehabilitation Medicine, Chiba University Hospital, Chiba, Japan.
Ryo TakemuraDepartment of Biostatistics Unit, Keio University Hospital, Clinical and Translational Research Center, Tokyo, Japan.
Yohei KawasakiDepartment of Biostatistics Section, Chiba University Hospital, Clinical Research Center, Chiba, Japan.
Astushi MurataDivision of Rehabilitation Medicine, Chiba University Hospital, Chiba, Japan.
Chiba University Hospital · JPChiba University · JPKeio University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimVentilator-associated pneumonia (VAP) is the most common intensive care unit (ICU)-acquired infection. The current study aimed to assess the efficacy of mechanical insufflation-exsufflation (MI-E) in preventing VAP in critically ill patients. MATERIALS AND

methodsThis retrospective cohort study was conducted at the ICU of Chiba University Hospital between January 2014 and September 2017. The inclusion criteria were patients who required invasive mechanical ventilation ≥48 hours and those who underwent rehabilitation, including chest physical therapy (CPT). In 2015, the study institution started the use of MI-E in patients with impaired cough reflex. From January to December 2014, patients undergoing CPT were classified under the historical control group, and those who received treatment using MI-E from January 2015 to September 2017 were included in the intervention group. The patients received treatment using MI-E via the endotracheal or tracheostomy tube, with insufflation-exsufflation pressure of 15-40 cm H

resultsFrom January 2015 to September 2017, 11 patients received treatment using MI-E. Of the 169 patients screened in 2014, 19 underwent CPT. The incidence of VAP was significantly different between the CPT and MI-E groups (84.2% [16/19] vs 26.4% [3/11],

conclusionThis retrospective cohort study suggests that the use of MI-E in critically ill patients is independently associated with a reduced incidence of VAP. CLINICAL SIGNIFICANCE: Assessing the efficacy of MI-E to prevent VAP. HOW TO CITE THIS ARTICLE: Kuroiwa R, Tateishi Y, Oshima T, Inagaki T, Furukawa S, Takemura R,

Indexed as

Airway clearanceChest physical therapyCritically ill patientsMechanical insufflation-exsufflationVentilator-associated pneumonia

Identifiers

PMID33603304
PMCPMC7874278
OpenAlexW3118501415

What OpenQuestion holds

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LicenceCC BY-NC
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.