Evidence map›Paper›PMID 38954351›Full record

ReviewCurrent cardiology reports2024

A Comprehensive Review on the Electrocardiographic Manifestations of Cardiac Sarcoidosis: Patterns and Prognosis.

Hritvik Jain, Mohammed Dheyaa Marsool Marsool, Amogh Verma, Hamza Irfan, Abdullah Nadeem, Jyoti Jain, Aman Goyal, Siddhant Passey, Shrey Gole, Mahalaqua Nazli Khatib and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Hritvik JainDepartment of Internal Medicine, All India Institute of Medical Sciences (AIIMS), Jodhpur, India.ORCID http://orcid.org/0000-0001-5608-4299
Mohammed Dheyaa Marsool MarsoolDepartment of Internal Medicine, Al- Kindy College of Medicine, University of Baghdad, Baghdad, Iraq.ORCID http://orcid.org/0000-0002-3481-4534
Amogh VermaDepartment of Internal Medicine, Rama Medical College Hospital and Research Center, Hapur, India. amoghverma2000@gmail.com.ORCID http://orcid.org/0000-0003-2499-4874
Hamza IrfanDepartment of Internal Medicine, Shaikh Khalifa Bin Zayed Al Nahyan Medical and Dental College, Lahore, Pakistan.ORCID http://orcid.org/0000-0002-0967-7523
Abdullah NadeemDepartment of Internal Medicine, Dow University of Health Sciences, Karachi, Pakistan.ORCID http://orcid.org/0000-0002-1205-5426
Jyoti JainDepartment of Internal Medicine, All India Institute of Medical Sciences (AIIMS), Jodhpur, India.ORCID http://orcid.org/0009-0008-7412-6016
Aman GoyalDepartment of Internal Medicine, Seth GS Medical College, KEM Hospital, Mumbai, India.ORCID http://orcid.org/0000-0001-8062-5657
Siddhant PasseyDepartment of Internal Medicine, University of Connecticut Health Center, Connecticut, USA.ORCID http://orcid.org/0000-0002-5569-1107
Shrey GoleDepartment of Immunology and Rheumatology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-1015-4201
Mahalaqua Nazli KhatibDivision of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India.
Quazi Syed ZahiruddinSouth Asia Infant Feeding Research Network (SAIFRN), Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India.
Abhay M GaidhaneGlobal Health Academy, School of Epidemiology and Public Health, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education, Wardha, India.
Sarvesh RustagiSchool of Applied and Life Sciences, Sarvesh Rustagi, Uttaranchal University, Dehradun, Uttarakhand, India.
Prakasini SatapathyCenter for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospital, Saveetha University, Chennai, 602117, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCardiac sarcoidosis (CS) refers to cardiac involvement in sarcoidosis and is usually associated with worse outcomes. This comprehensive review aims to elucidate the electrocardiographic (ECG) signs and features associated with CS, as well as examine modern techniques and their importance in CS evaluation. RECENT

findingsThe exact pathogenesis of CS is still unclear, but it stems from an abnormal immunological response triggered by environmental factors in individuals with genetic predisposition. CS presents with non-cardiac symptoms; however, conduction system abnormalities are common in patients with CS. The most common electrocardiographic (ECG) signs include atrioventricular blocks and ventricular tachyarrhythmia. Distinct patterns, such as fragmented QRS complexes, T-wave alternans, and bundle branch blocks, are critical indicators of myocardial involvement. The application of advanced ECG techniques such as signal-averaged ECG, Holter monitoring, wavelet-transformed ECG, microvolt T-wave alternans, and artificial intelligence-supported analysis holds promising outcomes for opportune detection and monitoring of CS. Timely utilisation of inexpensive and readily available ECG possesses the potential to allow early detection and intervention for CS. The integration of artificial intelligence models into ECG analysis is a promising approach for improving the ECG diagnostic accuracy and further risk stratification of patients with CS.

Indexed as

CardiomyopathiesElectrocardiographySarcoidosisElectrocardiography, AmbulatoryHumansPrognosisTachycardia, VentricularCardiac sarcoidosisElectrocardiographyInflammationRheumatologySarcoidosis

Identifiers

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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.