Evidence map›Paper›PMID 37614533›Full record

ReviewJACC. Asia2023

A Comprehensive Insight and Mechanistic Understanding of the Lipidomic Alterations Associated With DCM.

Shubham Saha, Praveen Singh, Abhi Dutta, Hiteshi Vaidya, Prakash Chand Negi, Shantanu Sengupta, Sandeep Seth, Trayambak Basak

Open access · goldAbstract readReview
In one paragraph

Review in JACC. Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

8 authors at 4 institutions in 1 country.

Shubham SahaSchool of Biosciences and Bioengineering. IIT-Mandi, Mandi, India.
Praveen SinghCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.
Abhi DuttaSchool of Biosciences and Bioengineering. IIT-Mandi, Mandi, India.
Hiteshi VaidyaDepartment of Cardiology, Indira Gandhi Medical College & Hospital, Shimla, India.
Prakash Chand NegiDepartment of Cardiology, Indira Gandhi Medical College & Hospital, Shimla, India.
Shantanu SenguptaCSIR-Institute of Genomics and Integrative Biology, New Delhi, India.
Sandeep SethDepartment of Cardiology, All India Institute of Medical Sciences, New Delhi, India.
Trayambak BasakSchool of Biosciences and Bioengineering. IIT-Mandi, Mandi, India.
Indian Institute of Technology Mandi · INGandhi Medical College & Hospital · INInstitute of Genomics and Integrative Biology · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dilated cardiomyopathy (DCM) is one of the major causes of heart failure characterized by the enlargement of the left ventricular cavity and contractile dysfunction of the myocardium. Lipids are the major sources of energy for the myocardium. Impairment of lipid homeostasis has a potential role in the pathogenesis of DCM. In this review, we have summarized the role of different lipids in the progression of DCM that can be considered as potential biomarkers. Further, we have also explained the mechanistic pathways followed by the lipid molecules in disease progression along with the cardioprotective role of certain lipids. As the global epidemiological status of DCM is alarming, it is high time to define some disease-specific biomarkers with greater prognostic value. We are proposing an adaptation of a system lipidomics-based approach to profile DCM patients in order to achieve a better diagnosis and prognosis of the disease.

Indexed as

dilated cardiomyopathyheart failurelipidomicsmass spectrometrymitochondrial dysfunction

Identifiers

PMID37614533
PMCPMC10442885
OpenAlexW4384700759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.