Evidence map›Paper›PMID 35875281›Full record

ReviewCureus2022

Using Echocardiography and Biomarkers to Determine Prognosis in Peripartum Cardiomyopathy: A Systematic Review.

Muhammad Sanusi, Elina S Momin, Vijayalakshmi Mannan, Tejasvi Kashyap, Muhammad Ahad Pervaiz, Aqsa Akram, Asma A Khan, Abeer O Elshaikh

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Peripartum Cardiomyopathy: Risks Diagnosis and Management.Journal of multidisciplinary healthcare · 2023
    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 1 institution in 1 country.

Muhammad SanusiInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Elina S MominInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Vijayalakshmi MannanInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Tejasvi KashyapGeneral Practice, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Muhammad Ahad PervaizUrology, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Aqsa AkramInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Asma A KhanMedicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Abeer O ElshaikhInternal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
California Institute of Behavioral Neurosciences and Psychology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripartum cardiomyopathy (PPCM) is a rare but debilitating form of heart failure that affects pregnant women. Although PPCM has a high rate of complete resolution, some patients often have a progressive disease and develop significant morbidity and mortality. Making an accurate prediction of outcomes and identifying those patients at the highest risk has proven difficult over the years. This study aimed to establish if we can use echocardiographic parameters and biomarkers as reliable indicators of prognosis. A predetermined systematic search strategy was employed in four databases: PubMed, Google Scholar, Science Direct, and Cochrane Library to include articles from the last 15 years (January 2007 to January 2022). Data from 12 studies were synthesized and included in this study. Although no parameter proved consistent in all the studies, echocardiographic parameters, including strain profiles and biomarkers, proved significant in the prognostication of patients with PPCM in the various studies evaluated. Therefore, a holistic approach is still needed in the risk stratification of patients with PPCM. Future studies should evaluate these parameters as well as clinical characteristics in a larger cohort study with a long follow-up period of more than one year in order to potentially develop prognostic score criteria that can be used to accurately identify those patients at the highest risk of developing severe disease or death to allow for timely and targeted therapies to improve outcomes in these patients.

Indexed as

biomarkerscardiomyopathyechocardiographyperipartumppcmpregnancyprognosis

Identifiers

PMID35875281
PMCPMC9299948
OpenAlexW4283207710

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.