Evidence map›Paper›PMID 38617762›Full record

ArticleJournal of thoracic disease2024

Research trends and hotspots in the field of electrical impedance tomography for mechanical ventilation: a bibliometric analysis.

Nan Lin, Chong-Jiu Fan, Fu-Yuan Li, Hui-Rong Luo, Yu-Mei Li, Abhijit Duggal, Bryan S Benn, Ting Yan, Ling-Li Pan, Zhong-Meng Lai

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 4 institutions in 2 countries.

Nan LinDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.ORCID https://orcid.org/0009-0007-3048-1182
Chong-Jiu FanDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Fu-Yuan LiDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Hui-Rong LuoDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Yu-Mei LiDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Abhijit DuggalDepartment of Critical Care Medicine, Respiratory Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Bryan S BennPulmonary Department, Respiratory Institute, Cleveland Clinic, Cleveland, OH, USA.
Ting YanDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Ling-Li PanDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.
Zhong-Meng LaiDepartment of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0002-3429-1489
Fujian Medical University · CNUnion Hospital · CNCase Western Reserve University · USCleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electrical impedance tomography (EIT) is a relatively recent functional imaging technique that is both noninvasive and radiation free. EIT measures the associated voltage when a weak current is applied to the surface of the human body to determine the distribution of electrical resistance within tissues. We performed a bibliometrics-based review to explore the geographic hotspots of current research and future trends developing in the field of EIT for mechanical ventilation. Methods: The Web of Science database was searched from its inception to June 25, 2023. CiteSpace software was used to visualize and analyze the relevant literature and identify the most impactful literature, trends, and hotspots. Results: 363 articles describing EIT use in mechanical ventilation were identified. A fluctuating growth in the number of publications was observed from 1998 to 2023. Germany had the highest number of articles (n=154), followed by Italy (n=53) and China (n=52). A cluster analysis of keyword co-occurrence revealed that "titration", "ventilator-related lung injury", and "oxygenation" were the most actively researched terms associated with the use of EIT in mechanically ventilated patients. Conclusions: Significant progress has been made in EIT research for mechanical ventilation. EIT research is limited to a small number of countries with a present research focus on the prevention and treatment of ventilator-related lung injury, oxygenation status, and prone ventilation. These topics are expected to remain research hotspots in the future.

Indexed as

bibliometric analysisElectrical impedance tomography (EIT)mechanical ventilation

Identifiers

PMID38617762
PMCPMC11009609
OpenAlexW4393281317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.