Evidence mapPaperPMID 39896120Full record

ArticleJACC. CardioOncology2025

Biomarkers to Predict Abnormal Technetium-99m Pyrophosphate Scans in Patients With Suspected Transthyretin Amyloidosis.

Laura De Michieli, Omar F AbouEzzeddine, Muhannad A Abbasi, Daniel R Davies, Christopher G Scott, Eli Muchtar, Angela Dispenzieri, Martha Grogan, Margaret M Redfield, Allan S Jaffe

Abstract read
In one paragraph

Article in JACC. CardioOncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
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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

10 authors.

Laura De MichieliDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Omar F AbouEzzeddineDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Muhannad A AbbasiDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Daniel R DaviesDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Christopher G ScottDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Eli MuchtarDivision of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
Angela DispenzieriDivision of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
Martha GroganDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Margaret M RedfieldDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Allan S JaffeDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Technetium Tc 99m pyrophosphate scintigraphy ( Objectives: The authors sought to evaluate the predictive value of hs-cTnT and NT-proBNP in patients undergoing Methods: This was a retrospective study of patients who underwent Results: ATTR-CM was diagnosed in 427 of 1,442 patients (29.6%). A hs-cTnT level <6 ng/L (n = 50, 3.5%) showed a negative predictive value of 100% (95% CI: 93%-100%) and sensitivity of 100% (95% CI: 99%-100%) for ruling out ATTR-CM. As the hs-cTnT threshold increased, the number of patients who could be ruled out also increased, but false negatives emerged. The positive predictive value for ruling in ATTR-CM remained low. NT-proBNP showed similar results (n = 1,378). The combination of hs-cTnT <14 ng/L and NT-proBNP <60 ng/L identified 45 patients (3.3%) without ATTR-CM. Conclusions: In patients undergoing

Indexed as

amyloidosisbiomarkerscardiac troponincardiomyopathydiagnostic performancetransthyretin amyloid cardiomyopathy

Identifiers

PMID39896120
PMCPMC11781999

What Socratic holds

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Registered trials

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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 Socratic graph.