Evidence map›Paper›PMID 35330470›Full record

ArticleJournal of personalized medicine2022

Effects of Physical Prehabilitation on the Dynamics of the Markers of Endothelial Function in Patients Undergoing Elective Coronary Bypass Surgery.

Yulia Argunova, Ekaterina Belik, Olga Gruzdeva, Sergey Ivanov, Svetlana Pomeshkina, Olga Barbarash

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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 at 1 institution in 1 country.

Yulia ArgunovaFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 6, Sosnovy Boulevard, 650002 Kemerovo, Russia.ORCID 0000-0002-8079-5397
Ekaterina BelikFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 6, Sosnovy Boulevard, 650002 Kemerovo, Russia.ORCID 0000-0003-3996-3325
Olga GruzdevaFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 6, Sosnovy Boulevard, 650002 Kemerovo, Russia.
Sergey IvanovFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 6, Sosnovy Boulevard, 650002 Kemerovo, Russia.
Svetlana PomeshkinaFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 6, Sosnovy Boulevard, 650002 Kemerovo, Russia.
Olga BarbarashFederal State Budgetary Scientific Institution "Research Institute for Complex Issues of Cardiovascular Diseases", 6, Sosnovy Boulevard, 650002 Kemerovo, Russia.
Kemerovo State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our aim in this study was to evaluate the effect of physical training performed before CABG on the perioperative dynamics of the serum levels of asymmetric dimethylarginine (ADMA) and endothelin-1 (ET-1) of patients with stable coronary heart disease (CHD). Patients in the preoperative period were randomized into two groups: the training group (

Indexed as

coronary artery bypass surgerycoronary heart diseaseendothelial dysfunctionphysical trainingprehabilitationrehabilitation

Identifiers

PMID35330470
PMCPMC8949238
OpenAlexW4221036044

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.