Evidence map›Paper›PMID 39118717›Full record

ReviewAnnals of medicine and surgery (2012)2024

Precision medicine in peripartum cardiomyopathy: advancing diagnosis and management through genomic and phenotypic integration.

Ajeet Singh, Hamza Irfan, Tooba Ali, Sanila Mughal, Ayesha Shaukat, Mohammad Jawwad, Aymar Akilimali

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 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. 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.

Ajeet SinghDepartment of Internal Medicine, Dow University of Health Sciences, Karachi.
Hamza IrfanDepartment of Medicine, Shaikh Khalifa Bin Zayed Al Nahyan Medical and Dental College, Lahore, Pakistan.
Tooba AliDepartment of Internal Medicine, Dow University of Health Sciences, Karachi.
Sanila MughalDepartment of Internal Medicine, Dow University of Health Sciences, Karachi.
Ayesha ShaukatDepartment of Internal Medicine, Dow University of Health Sciences, Karachi.
Mohammad JawwadDepartment of Internal Medicine, Dow University of Health Sciences, Karachi.
Aymar AkilimaliDepartment of research, Medical Research Circle (MedReC), Bukavu, Democratic Republic of Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripartum cardiomyopathy (PPCM) is a rare and life-threatening cardiac condition characterized by heart failure due to left ventricular systolic dysfunction, often developing in late pregnancy or the early postpartum period. Despite being a leading cause of maternal morbidity and mortality, clinical presentation of PPCM frequently overlaps with normal pregnancy-related physiological changes, causing diagnostic delays and increased complications. Current management strategies, primarily derived from general heart failure protocols, are evolving to address the unique aspects of PPCM. This includes the development of personalized medicine approaches that integrate genetic profiling, biomarker evaluation, and clinical phenotyping. Notable genes such as titin (TTN), Bcl2-associated athanogene 3 (BAG3), and lamin A/C (LMNA) are implicated in PPCM, revealing a complex genetic landscape similar to other cardiomyopathies. Biomarkers like N-terminal pro-brain-type natriuretic peptide (NT-proBNP) and cardiac troponin T (cTnT) are under investigation for their diagnostic and prognostic value, indicating that personalized treatments hold the promise of enhancing diagnostic precision and therapeutic outcomes by tailoring interventions to individual patient profiles. This review article aims to highlight how integrating genetic and phenotypic data can establish a novel framework for managing PPCM, potentially transforming treatment paradigms and improving long-term outcomes.

Indexed as

biomarker evaluationgenetic testingperipartum cardiomyopathypersonalized medicineventricular systolic dysfunction

Identifiers

PMID39118717
PMCPMC11305805

What OpenQuestion holds

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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.