Evidence map›Paper›PMID 35206889›Full record

ArticleHealthcare (Basel, Switzerland)2022

CoCross: An ICT Platform Enabling Monitoring Recording and Fusion of Clinical Information Chest Sounds and Imaging of COVID-19 ICU Patients.

Vassilis Kilintzis, Nikolaos Beredimas, Evangelos Kaimakamis, Leandros Stefanopoulos, Evangelos Chatzis, Edison Jahaj, Militsa Bitzani, Anastasia Kotanidou, Aggelos K Katsaggelos, Nicos Maglaveras

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
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.

Vassilis KilintzisLaboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, The Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0002-9783-6757
Nikolaos BeredimasLaboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, The Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Evangelos Kaimakamis1st Intensive Care Unit, "G. Papanikolaou" General Hospital of Thessaloniki, 57010 Pilea Hortiatis, Greece.
Leandros StefanopoulosLaboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, The Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0002-2682-5639
Evangelos ChatzisLaboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, The Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Edison JahajFirst Department of Critical Care Medicine and Pulmonary Services, Evangelismos Hospital, The Medical School, National and Kapodistrian University of Athens, 10676 Athens, Greece.ORCID 0000-0002-7306-713X
Militsa Bitzani1st Intensive Care Unit, "G. Papanikolaou" General Hospital of Thessaloniki, 57010 Pilea Hortiatis, Greece.
Anastasia KotanidouFirst Department of Critical Care Medicine and Pulmonary Services, Evangelismos Hospital, The Medical School, National and Kapodistrian University of Athens, 10676 Athens, Greece.
Aggelos K KatsaggelosDepartment of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60201, USA.
Nicos MaglaverasLaboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, The Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0002-4919-0664

Funding

European Commission 210510516
6 · The paper itself

Abstract

Monitoring and treatment of severely ill COVID-19 patients in the ICU poses many challenges. The effort to understand the pathophysiology and progress of the disease requires high-quality annotated multi-parameter databases. We present CoCross, a platform that enables the monitoring and fusion of clinical information from in-ICU COVID-19 patients into an annotated database. CoCross consists of three components: (1) The CoCross4Pros native android application, a modular application, managing the interaction with portable medical devices, (2) the cloud-based data management services built-upon HL7 FHIR and ontologies, (3) the web-based application for intensivists, providing real-time review and analytics of the acquired measurements and auscultations. The platform has been successfully deployed since June 2020 in two ICUs in Greece resulting in a dynamic unified annotated database integrating clinical information with chest sounds and diagnostic imaging. Until today multisource data from 176 ICU patients were acquired and imported in the CoCross database, corresponding to a five-day average monitoring period including a dataset with 3477 distinct auscultations. The platform is well accepted and positively rated by the users regarding the overall experience.

Indexed as

biomedical monitoringCOVID-19heart soundsICT platformICUlung soundslung ultrasoundresearch databaseX-rays

Identifiers

PMID35206889
PMCPMC8871733

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.