Evidence map›Paper›PMID 34477328›Full record

ArticleESC heart failure2021

The prediction of right atrial pressure using electrocardiogram: a novel approach.

Marzieh Mirtajaddini, Nasim Naderi, Maryam Chenaghlou, Sepideh Taghavi, Ahmad Amin

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2021. 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
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Electrocardiographic markers predict hemodynamic parameters in adults with uncorrected secundum atrial septal defect.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
    Article
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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

5 authors at 2 institutions in 1 country.

Marzieh MirtajaddiniRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-4842-6230
Nasim NaderiRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Maryam ChenaghlouCardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Sepideh TaghaviRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Ahmad AminRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IRTabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPulmonary hypertension (PH) is a serious disorder that can complicate pulmonary and cardiovascular diseases. Right atrial (RA) pressure is a robust predictor of the pulmonary hypertension severity, which is measured via right heart catheterization. Limited studies have been carried out to assess the association between electrocardiogram data and the RA pressure as a prognostic factor of PH. In this study, the relation between P wave and PR segment changes with RA pressure was evaluated. METHODS AND

resultsIn this study, 94 patients in PH groups of 1, 3, and 4, based on the World Health Organization classification, were entered. RA pressure was measured using the right heart catheterization. PR segment and P wave morphology in leads II and V

conclusionsIt was found that the PR segment depression in lead II and pulmonary P wave in lead V

Indexed as

Atrial PressureHypertension, PulmonaryAdultCardiac CatheterizationElectrocardiographyFemaleHumansPredictive Value of TestsElectrocardiogramPR segmentPulmonary hypertensionP waveRight atrial pressureRight heart catheterization

Identifiers

PMID34477328
PMCPMC8712882
OpenAlexW3198278029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.