Evidence map›Paper›PMID 33418868›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Multimodal Diagnostics of Microrheologic Alterations in Blood of Coronary Heart Disease and Diabetic Patients.

Anastasia Maslianitsyna, Petr Ermolinskiy, Andrei Lugovtsov, Alexandra Pigurenko, Maria Sasonko, Yury Gurfinkel, Alexander Priezzhev

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. A New In Vitro Blood Hyperviscosity Model.Bulletin of experimental biology and medicine · 2022
    Article
  6. Review
  7. 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

7 authors.

Anastasia MaslianitsynaPhysics Department, Lomonosov Moscow State University, 119991 Moscow, Russia.
Petr ErmolinskiyPhysics Department, Lomonosov Moscow State University, 119991 Moscow, Russia.
Andrei LugovtsovPhysics Department, Lomonosov Moscow State University, 119991 Moscow, Russia.
Alexandra PigurenkoFaculty of Fundamental Medicine, Lomonosov Moscow State University, 119991 Moscow, Russia.
Maria SasonkoResearch Clinical Center of JSC "Russian Railways", 123567 Moscow, Russia.
Yury GurfinkelMedical Research and Educational Center, Lomonosov Moscow State University, 119991 Moscow, Russia.
Alexander PriezzhevPhysics Department, Lomonosov Moscow State University, 119991 Moscow, Russia.

Funding

Russian Science Foundation 18-15-00422
6 · The paper itself

Abstract

Coronary heart disease (CHD) has serious implications for human health and needs to be diagnosed as early as possible. In this article in vivo and in vitro optical methods are used to study blood properties related to the aggregation of red blood cells in patients with CHD and comorbidities such as type 2 diabetes mellitus (T2DM). The results show not only a significant difference of the aggregation in patients compared to healthy people, but also a correspondence between in vivo and in vitro parameters. Red blood cells aggregate in CHD patients faster and more numerously; in particular the aggregation index increases by 20 ± 7%. The presence of T2DM also significantly elevates aggregation in CHD patients. This work demonstrates multimodal diagnostics and monitoring of patients with socially significant pathologies.

Indexed as

blood rheologycoronary heart diseasediabetes mellitusdigital capillaroscopylaser aggregometrylaser tweezersred blood cell aggregation

Identifiers

PMID33418868
PMCPMC7825048

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.