Evidence map›Paper›PMID 37918844›Full record

ReviewJournal of nuclear medicine : official publication, Society of Nuclear Medicine2023

Molecular Imaging of Systemic and Cardiac Amyloidosis: Recent Advances and Focus on the Future.

Sharmila Dorbala, Marie Foley Kijewski

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Cardiovascular imaging with total-body PET.The British journal of radiology · 2026
    Review
  2. Article
  3. Head-to-head comparison ofEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Current cardiology reports · 2025
    Review
  10. Article
  11. Article
  12. 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

2 authors at 2 institutions in 1 country.

Sharmila DorbalaDivision of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; sdorbala@bwh.harvard.edu.
Marie Foley KijewskiDivision of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · USHarvard University · US

Funding

Mentoring Patient Oriented Research in Innovative Imaging and High-dimensional Data Approaches to Improve Outcomes in Cardiac AmyloidosisK24HL157648 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DORBALA, SHARMILA · 2021 to 2025
$612k
NHLBI NIH HHS K24 HL157648
6 · The paper itself

Abstract

Myocardial infiltration by amyloid fibrils causes a severe and progressive form of heart failure. Until recently, this was not treatable. Several novel therapies have recently become available, increasing the urgency to make an accurate diagnosis, evaluate risk, and determine treatment response. Molecular imaging with positron-emitting amyloid tracers has a key emerging role in the evaluation and management of cardiac amyloidosis. In this review, we discuss molecular imaging of cardiac amyloidosis using amyloid PET tracers, including recent advances with a focus on the future.

Indexed as

AmyloidosisCardiomyopathiesHeart FailureAmyloidHumansMolecular ImagingMyocardiumAmyloidamyloid PET tracerscardiac amyloidosislight-chain amyloidosisPETtransthyretin amyloidosis

Identifiers

PMID37918844
PMCPMC12530640
OpenAlexW4388211877

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.