Evidence map›Paper›PMID 25861229›Full record

ReviewClinical Medicine Insights. Cardiology2015

"Reverse McConnell's Sign": Interpreting Interventricular Hemodynamic Dependency and Guiding the Management of Acute Heart Failure during Takotsubo Cardiomyopathy.

Kan Liu, Zhongxia Sun, Tiemin Wei

Open access · goldAbstract readReview
In one paragraph

Review in Clinical Medicine Insights. Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 24% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Perioperative management of Takotsubo cardiomyopathy: an overview.Journal of anesthesia, analgesia and critical care · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Kan LiuDepartment of Medicine, State University of New York, Upstate Medical University, Syracuse, NY.
Zhongxia SunDepartment of Cardiology, Lishui Central Hospital, Zhejiang University, Zhejiang, People's Republic of China.
Tiemin WeiDepartment of Cardiology, Lishui Central Hospital, Zhejiang University, Zhejiang, People's Republic of China.
SUNY Upstate Medical University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although most patients with Takotsubo cardiomyopathy (TTC) have benign clinical course and prognosis, TTC can induce acute heart failure and hemodynamic instability. TTC mimics the clinical features of acute anterior wall myocardial infarction (AMI). Bedside clinicians often have a diagnostic dilemma when cardiac catheterization and angiography are either contraindicated or can cause potential adverse consequences. Misdiagnosing TTC as AMI will lead to initiation of harmful pharmacological or device-based treatment, which worsens hemodynamic compromise. Therefore, understanding and interpreting the unique pathophysiological and hemodynamic features of TTC in a better manner becomes crucial to guide effective clinical management of acute heart failure/cardiogenic shock during TTC. We review recent advances in echocardiographic diagnosis of TTC and its role in guiding bedside management of acute heart failure and cardiogenic shock, with specific focus on the interpretation of discrepant, but reciprocally dependent, left and right ventricular hemodynamics during acute stages of TTC.

Indexed as

acute heart failurecardiogenic shockinterventricular dependencyreverse McConnell’s signTakotsubo cardiomyopathy

Identifiers

PMID25861229
PMCPMC4373721
OpenAlexW1964514004

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.