Evidence map›Paper›PMID 37233151›Full record

ArticleJournal of cardiovascular development and disease2023

Semi-Quantification of Myocardial Uptake of Bone-Seeking Agents in Suspected Cardiac Amyloidosis.

Cristina Campi, Chiara Briani, Alessandro Salvalaggio, Chiara Giraudo, Alberto Cipriani, Alessandro Zorzi, Pietro Zucchetta, Roberto Vettor, Diego Cecchin

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 2 institutions in 1 country.

Cristina CampiDepartment of Mathematics, University of Genoa, 16126 Genoa, Italy.ORCID 0000-0003-2105-8554
Chiara BrianiDepartment of Neurosciences (DNS), University of Padua, 35128 Padua, Italy.ORCID 0000-0001-8035-0200
Alessandro SalvalaggioDepartment of Neurosciences (DNS), University of Padua, 35128 Padua, Italy.ORCID 0000-0002-1273-7566
Chiara GiraudoNuclear Medicine Unit, Department of Medicine-DIMED, Padua University Hospital, 35128 Padua, Italy.ORCID 0000-0003-0924-5883
Alberto CiprianiDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital, 35128 Padua, Italy.ORCID 0000-0001-7842-6202
Alessandro ZorziDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital, 35128 Padua, Italy.ORCID 0000-0002-3578-0583
Pietro ZucchettaNuclear Medicine Unit, Department of Medicine-DIMED, Padua University Hospital, 35128 Padua, Italy.
Roberto VettorInternal Medicine Unit, Department of Medicine-DIMED, Padua University Hospital, 35128 Padua, Italy.ORCID 0000-0003-0625-6667
Diego CecchinNuclear Medicine Unit, Department of Medicine-DIMED, Padua University Hospital, 35128 Padua, Italy.ORCID 0000-0001-7956-1924
University of Padua · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBone scintigraphy has emerged as a key tool for non-invasive etiologic diagnosis of transthyretin (ATTR) cardiac amyloidosis (CA). We focused on a new semi-quantification method (on planar imaging) that could complement the qualitative/visual Perugini scoring system, especially when SPET/CT is not available. MATERIAL AND

methodsWe retrospectively/qualitatively evaluated 8674 consecutive, planar 99mTc-biphosphonate scintigraphies (performed for non-cardiac reasons), identifying 68 (0.78%) individuals (mean age 79 ± 7 years, range 62-100 years; female/male ratio 16/52) presenting myocardial uptake. Due to the retrospective nature of the study, no SPET/CT, pathologic or genetic confirmation was obtained. The Perugini scoring system was determined (in patients presenting cardiac uptake) and compared with three newly proposed semi-quantitative indices. We took 349 consecutive bone scintigraphies, qualitatively absent of any cardiac/pulmonary uptake, as "healthy controls" (HC).

resultsThe heart-to-thigh ratio (RHT) and lung-to-thigh ratio (RLT) indices were significantly higher in patients than in HCs (p ≤ 0.0001). There were statistically significant differences for RHT in HCs vs. patients with qualitative Perugini scores of 1 or >1 (with p ranging from ≤0.001 to ≤0.0001). ROC curves showed that RHT outperformed the other indices and was more accurate in both male and female groups. Furthermore, in the male population, RHT accurately distinguished HCs and patients with scores of 1 (less likely affected by ATTR) from patients with qualitative scores >1 (more likely affected by ATTR) with an AUC of 99% (sensitivity: 95%; specificity: 97%).

conclusionThe proposed semi-quantitative RHT index can accurately/semi-quantitatively distinguish between HCs and subjects probably affected by CA (Perugini scores from 1 to 3), and could be particularly useful when no SPET/CT data are available (such as in retrospective studies and data mining). Furthermore, RHT can semi-quantitatively predict, with very high accuracy, subjects in the male population more likely to be affected by ATTR. The present study, although using a very large sample, is however retrospective, monocentric, and therefore the generalizability of the results should be proved by an accurate external validation. ADVANCES IN KNOWLEDGE: The proposed heart-to-thigh ratio (RHT) can distinguish healthy controls and subjects that are probably affected by cardiac amyloidosis in a simple and more reproducible way, as compared to standard qualitative/visual evaluation.

Indexed as

bone scanbone scintigraphycardiac amyloidosisquantificationtransthyretin

Identifiers

PMID37233151
PMCPMC10218877
OpenAlexW4366829050

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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 OpenQuestion graph.