Evidence map›Paper›PMID 32824396›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry.

Ekaterina Savchenko, Ilya Kolokolnikov, Elena Velichko, Victor Osovskikh, Lyubov Kiseleva, Zhyldyz Musakulova

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Optical Diagnostics in Human Diseases.Diagnostics (Basel, Switzerland) · 2021
    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.

Ekaterina SavchenkoInstitute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.ORCID 0000-0003-0473-5007
Ilya KolokolnikovInstitute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
Elena VelichkoInstitute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.ORCID 0000-0001-8983-3719
Victor OsovskikhDepartment of Anesthesiology and Resuscitation Russian Research Center for Radiology and Surgical Technologies, 197758 St. Petersburg, Russia.
Lyubov KiselevaDepartment of Anesthesiology and Resuscitation Russian Research Center for Radiology and Surgical Technologies, 197758 St. Petersburg, Russia.ORCID 0000-0003-2728-5109
Zhyldyz MusakulovaComputer Information Systems, International University of Kyrgyzstan, Bishkek 720007, Kyrgyzstan.

Funding

This research work was supported by Peter the Great St. Petersburg Polytechnic University in the framework of the Program "5-100-2020"
6 · The paper itself

Abstract

This work is aimed at creating a modified invasive technique for assessing the liver's functional reserves. A study of the degree of hepatodepression is carried out by measuring the plasma elimination of indocyanine green using the method of optical densitometry. This paper presents test results for an aqueous solution and an albumin solution, as well as the results of measurements of plasma elimination of indocyanine green for patients with liver disease. Perfecting the proposed method will make an important scientific contribution to modern diagnostic medicine. Diagnosing the stages in the progression of the disease and its developing complications can make it possible to rapidly correct the patient's treatment algorithm, achieving positive outcomes in medical practice.

Indexed as

indocyanine greenliver diagnosisliver functional reserveoptical densitometryoptical densityplasma disappearance rate

Identifiers

PMID32824396
PMCPMC7460397

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Registered trials

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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.