Evidence map›Paper›PMID 38322858›Full record

ArticleHeliyon2024

Bedside electrical impedance tomography to assist the management of pulmonary embolism: A case report.

Chenling Ding, Yibo Zhu, Shuyi Zhang, Zhanqi Zhao, Yuan Gao, Zhe Li

Abstract readCase Reports
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors.

Chenling DingDepartment of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, China.
Yibo ZhuDepartment of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, China.
Shuyi ZhangDepartment of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, China.
Zhanqi ZhaoSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China.
Yuan GaoDepartment of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, China.
Zhe LiDepartment of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary embolism (PE) is a common worldwide disease with high mortality. Timely diagnosis and management of PE could significantly improve clinical outcomes. Electrical impedance tomography (EIT) is a novel noninvasive technique to monitor lung perfusion and help detect PE at the bedside. Here we present a case of clinical management of subsegmental PE with the help of the bilateral ventilation and perfusion(V/Q) asymmetry EIT image. Case presentation: A 72-year-old cancer patient with respiratory failure and acute kidney injury in the intensive care unit was suspected of PE based on his clinical manifestation. The contraindication of computed tomography pulmonary angiography (CTPA) for PE diagnosis prevented escalating anticoagulation therapy. Besides EIT ventilation and perfusion monitoring showed an abnormal asymmetry V/Q match between the bilateral lungs which promoted our decision to start systemic continuous anticoagulation therapy and improved the patient clinically. The following CTPA which clarified the diagnosis of PE suggests that the patient has benefited from our decision. Conclusion: For critically ill patients with suspected PE, the asymmetry of the EIT V/Q image may provide crucial objective information for clinical management.

Indexed as

Asymmetry indexElectrical impedance tomographyIntensive care unitLung perfusionPulmonary embolismVentilation-perfusion

Identifiers

PMID38322858
PMCPMC10844270

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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.