Evidence map›Paper›PMID 21359095›Full record

ArticleCurrent cardiovascular imaging reports2011

Cellular and Functional Imaging of Cardiac Transplant Rejection.

Yijen L Wu, Qing Ye, Chien Ho

Open access · greenAbstract read
In one paragraph

Article in Current cardiovascular imaging reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cardiac MRI Assessment of Mouse Myocardial Infarction and Regeneration.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Tracking T-cells in vivo with a new nano-sized MRI contrast agent.Nanomedicine : nanotechnology, biology, and medicine · 2012
    Article
  11. 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

3 authors at 1 institution in 1 country.

Yijen L WuPittsburgh NMR Center for Biomedical Research and the Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
Qing Ye
Chien Ho
Carnegie Mellon University · US

Funding

A MULTIDISCIPLINARY NMR CENTER FOR BIOMEDICAL RESEARCHP41EB001977 · NIBIB · MELLON PITTS CORPORATION (MPC CORP) · PI HO, CHIEN · 2003 to 2013
$12.5M
DEVELOPMENT OF MRI TO DETECT CARDIAC REJECTIONR01HL081349 · NHLBI · CARNEGIE-MELLON UNIVERSITY · PI HO, CHIEN · 2007 to 2010
$2.4M
NHLBI NIH HHS R01 HL081349NIBIB NIH HHS P41 EB001977
6 · The paper itself

Abstract

Heart transplantation is now an established treatment for patients suffering from end-stage heart diseases. With the advances in immunosuppressive treatment, the survival rate for transplant patients has improved greatly. However, allograft rejection, both acute and chronic, after heart transplantation is still a limitation leading to morbidity and mortality. The current clinical gold standard for screening rejection is endomyocardial biopsy (EMB), which is not only invasive, but also error-prone, due to the limited sample size and the site location of sampling. It would be highly desirable to have reliable and noninvasive alternatives for EMB in monitoring cardiac allograft rejection. The objective of this review is to highlight how cardiovascular imaging can contribute to noninvasively detecting and to evaluating both acute and chronic allograft rejection after heart transplantation, in particular, cardiovascular MRI (CMRI); and how CMRI can assess both immune cell infiltration at the rejecting organ, and the cardiac dysfunctions resulting from allograft rejection.

Identifiers

PMID21359095
PMCPMC3045087
OpenAlexW2100601291

What OpenQuestion holds

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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.