Evidence map›Paper›PMID 31100854›Full record

ReviewJournal of clinical medicine2019

Pretransplant Cardiac Evaluation Using Novel Technology.

Mohamad Hemu, Allison Zimmerman, Dinesh Kalra, Tochukwu Okwuosa

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Article
  4. Article
  5. Association of atrial fibrillation and outcomes in patients undergoing bone marrow transplantation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  6. 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

4 authors at 1 institution in 1 country.

Mohamad HemuDepartment of Medicine, Rush University Medical Center, Chicago, IL 60612, USA. mohamad_r_hemu@rush.edu.ORCID 0000-0003-3059-7437
Allison ZimmermanDepartment of Medicine, Rush University Medical Center, Chicago, IL 60612, USA. Allison_C_Zimmerman@rush.edu.
Dinesh KalraDepartment of Medicine, Rush University Medical Center, Chicago, IL 60612, USA. Dinesh_Kalra@rush.edu.ORCID 0000-0001-5254-4067
Tochukwu OkwuosaDepartment of Medicine, Rush University Medical Center, Chicago, IL 60612, USA. tokwuosa@rush.edu.
Rush University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoietic stem-cell transplantation (HSCT) is a complex procedure that has been increasingly successful in treating malignant and nonmalignant conditions. Despite its effectiveness, it can be associated with potentially life-threatening adverse effects. New onset heart failure, ischemic disease, and arrhythmias are among the most notable cardiovascular complications post-HSCT. As a result, appropriate cardiac risk stratification prior to transplant could result in decreased morbidity and mortality by identifying patients with a higher probability of tolerating possible toxicities associated with HSCT. In this review, we aim to discuss the utility of cardiac screening using novel modalities of imaging technology in the pre-HSCT phase.

Indexed as

cardiac imagingcardiac magnetic resonancecardiovascular complicationscoronary computed tomographyechocardiogramhematopoietic stem cell transplantspeckle tracking echocardiography

Identifiers

PMID31100854
PMCPMC6571765
OpenAlexW2946649769

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.