Evidence map›Paper›PMID 32440761›Full record

ReviewCardiology and therapy2020

Sex-Based Differences in Coronary and Structural Percutaneous Interventions.

Ashley Mohadjer, Garrett Brown, Syed R Shah, Charishma Nallapati, Nida Waheed, Anthony A Bavry, Ki Park

Abstract readReview
In one paragraph

Review in Cardiology and therapy, 2020. 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
–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

3 citing papers in PubMed.

  1. Women's cardiovascular health in 2025:Saudi medical journal · 2026
    Review
  2. Article
  3. Spinal muscular atrophy: Broad disease spectrum and sex-specific phenotypes.Biochimica et biophysica acta. Molecular basis of disease · 2021
    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

7 authors.

Ashley MohadjerDivision of Cardiovascular Medicine, University of Florida, Gainesville, FL, USA.
Garrett BrownDivision of Cardiovascular Medicine, University of Florida, Gainesville, FL, USA.
Syed R ShahDepartment of Internal Medicine, North Florida Regional Medical Center, University of Central Florida (Gainesville), Gainesville, FL, USA.
Charishma NallapatiDepartment of Internal Medicine, University of Florida, Gainesville, FL, USA.
Nida WaheedDepartment of Internal Medicine, University of Florida, Gainesville, FL, USA.
Anthony A BavryDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern, Dallas, TX, USA.
Ki ParkDivision of Cardiovascular Medicine, University of Florida, Gainesville, FL, USA. ki.park@medicine.ufl.edu.ORCID http://orcid.org/0000-0002-9943-3484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current state of interventional cardiology, the ability to offer advanced therapies to patients who historically were not surgical candidates has grown exponentially in the last few decades. As therapies have expanded in complex coronary and structural interventions, the nuances of treating certain populations have emerged. In particular, the role of sex-based anatomic and outcome differences has been increasingly recognized. As guidelines for cardiovascular prevention and treatment for certain conditions may vary by sex, therapeutic interventions in the structural and percutaneous coronary areas may also vary. In this review, we aim to discuss these differences, the current literature available on these topics, and areas of focus for the future.

Indexed as

Aortic valve diseaseInterventional cardiologyMitral valve diseasePercutaneous coronary interventionSex-related disparitiesSex-specific factors

Identifiers

PMID32440761
PMCPMC7584690

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.