Evidence map›Paper›PMID 26567981›Full record

ReviewHeart failure clinics2016

Cardiac Syndrome X: Update.

Shilpa Agrawal, Puja K Mehta, C Noel Bairey Merz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure clinics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Level of Anxiety and Depression in Cardiac Syndrome X.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2019
    Article
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Shilpa AgrawalDavid Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Puja K MehtaDepartment of Medicine, Cedars-Sinai Medical Center, Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, 127 South San Vicente Boulevard, Los Angeles, CA 90048, USA. Electronic address: puja.mehta@cshs.org.
C Noel Bairey MerzDepartment of Medicine, Cedars-Sinai Medical Center, Barbra Streisand Women's Heart Center, Cedars-Sinai Heart Institute, 127 South San Vicente Boulevard, Los Angeles, CA 90048, USA.
Cedars-Sinai Medical Center · USCedars-Sinai Smidt Heart Institute · USUniversity of California, Los Angeles · US

Funding

Cardiac Autonomic Function in WomenK23HL105787 · NHLBI · EMORY UNIVERSITY · PI MEHTA, PUJA KIRAN · 2012 to 2016
$813k
NHLBI NIH HHS K23 HL105787
6 · The paper itself

Abstract

Cardiac Syndrome X (CSX), characterized by angina-like chest discomfort, ST segment depression during exercise, and normal epicardial coronary arteries at angiography, is highly prevalent in women. CSX is not benign, and linked to adverse cardiovascular outcomes and a poor quality of life. Coronary microvascular and endothelial dysfunction and abnormal cardiac nociception have been implicated in the pathogenesis of CSX. Treatment includes life-style modification, anti-anginal, anti-atherosclerotic, and anti-ischemic medications. Non-pharmacological options include cognitive behavioral therapy, enhanced external counterpulsation, neurostimulation, and stellate ganglionectomy. Studies have shown the efficacy of individual treatments but guidelines outlining the best course of therapy are lacking.

Indexed as

AnginaCardiac syndrome XIschemiaMicrovascular endothelial dysfunctionMyocardial hypersensitivity

Identifiers

PMID26567981
OpenAlexW2220165748

What OpenQuestion holds

Textmetadata
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.