Trial reportJournal of clinical monitoring and computing2014
Bedside monitoring of ventilation distribution and alveolar inflammation in community-acquired pneumonia.
Trial report in Journal of clinical monitoring and computing, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Harnessing breath biomarkers for pneumonia diagnosis and prognosis.Expert review of respiratory medicine · 2026Review
- Electrical Impedance Tomography Use in Neonatal and Pediatrics Patients: A Narrative Review.Health science reports · 2025Article
- Regional ventilation distribution in healthy lungs: can reference values be established for electrical impedance tomography parameters?Annals of translational medicine · 2021Article
- The nitric oxide donor, (Z)-1-[N-(2-aminoethyl)-N-(2-ammonioethyl)amino]diazen-1-ium-1,2-diolate (DETA-NONOate/D-NO), increases survival by attenuating hyperoxia-compromised innate immunity in bacterial clearance in a mouse model of ventilator-associated pneumonia.Biochemical pharmacology · 2020Article
- Integrated EIT system for functional lung ventilation imaging.Biomedical engineering online · 2019Article
- Journal of clinical monitoring and computing 2014 end of year summary: respiration.Journal of clinical monitoring and computing · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is unclear whether bedside monitoring tools such as exhaled nitric oxide measurements (FENO) and electrical impedance tomography (EIT) could help guiding patient management in community-acquired pneumonia (CAP). We hypothesized that exhaled NO would be increased in CAP patients and could be used to assess resolution of inflammation in the course of CAP therapy. Feasibility of multiple-breath (mb) and single-breath (sb) approach has been investigated. EIT was compared with chest X-ray at admission and used to assess whether the inhomogeneous ventilation changes due to treatment. 24 CAP patients were enrolled. Measurements were accomplished at admission (T0: EIT + FENO), after 3 days (T1: FENO) and 5-6 days after admission (T2: EIT + FENO). We computed an EIT distribution index (DEIT), which reflects the uniformity of ventilation. FENO measurements showed a significant decrease in NO after the beginning of antibiotic therapy [p = 0.04 (sb); p = 0.003 (mb)]. Correlation between sb method and mb method was significant (p < 0.001, r = 0.70). EIT detects right-sided and left-sided ventilation disorders due to pneumonia in correspondence to chest X-ray (p < 0.01). EIT images at T2 showed a more homogeneous ventilation distribution in displayed EIT. FENO could be a prospective supplementary tool to describe local lung inflammation as individual trend parameter. EIT could be a suitable supplementary tool to monitor functional lung status in CAP.
Indexed as
Identifiers
24435618What OpenQuestion holds
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.