Evidence map›Paper›PMID 36628217›Full record

ArticleAmerican journal of translational research2022

Comparison of the effects of different mechanical ventilation modes on the incidence of ventilation-associated pneumonia: a case study of patients undergoing thoracic surgery.

Xiaomeng Liu, Lixian Wang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 70% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Xiaomeng LiuDepartment of Anesthesiology I, Cangzhou Central Hospital Yunhe District, Cangzhou 061000, Hebei, China.
Lixian WangDepartment of Anesthesiology I, Cangzhou Central Hospital Yunhe District, Cangzhou 061000, Hebei, China.
Cangzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effects of different mechanical ventilation modes on the incidence of ventilator-associated pneumonia (VAP) in patients undergoing thoracic surgery.

methodsFrom June 2019 to December 2021, the clinical data of 96 patients undergoing thoracic surgery in Cangzhou Central Hospital were retrospectively analyzed. A total of 44 patients who underwent constant flow mode were included in the control group (CG), and 52 patients who underwent auto flow mode were included in the observation group (OG). The respiratory mechanics, hemodynamics, blood gas analysis and serum levels of lung injury markers at different time points were compared between the two groups, and the incidence of VAP was analyzed.

resultsAt 1 hour and 4 hours of ventilation, the peak airway pressure (Ppeak), Pmean mean airway pressure (Pmean) and airway resistance (Raw) of the OG were lower than those of the CG, and the dynamic lung compliance (Cdyn) was higher than that of the CG (P<0.05). There were no statistically significant differences in mean arterial pressure (MAP), heart rate (HR), blood oxygen saturation (SpO

conclusionIn mechanical ventilation, auto flow mode can reduce the incidence of VAP, improve respiratory mechanics, and reduce lung injury in patients undergoing thoracic surgery, but has no significant effect on hemodynamics and blood gas analysis.

Indexed as

auto flow modeconst flow modemechanical ventilationThoracic surgeryventilator-associated pneumonia

Identifiers

PMID36628217
PMCPMC9827302
OpenAlexW4315620680

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.