Evidence map›Paper›PMID 26424491›Full record

ArticleThe international journal of cardiovascular imaging2016

Prognostic evaluation in obese patients using a dedicated multipinhole cadmium-zinc telluride SPECT camera.

Andrea De Lorenzo, Thais Peclat, Ana Carolina Amaral, Ronaldo S L Lima

Abstract read
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  3. Advanced technology in the risk stratification-based strategy: The way forward to keep going.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  4. Article
  5. Myocardial perfusion imaging in overweight patients and women: Is it CZT good enough?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  6. Article
  7. Cardiovascular imaging 2016 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2017
    Article
  8. Comparison of the prognostic value of myocardial perfusion imaging using a CZT-SPECT camera with a conventional anger camera.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Article
  9. Review
  10. Review
  11. Cardiovascular imaging 2015 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2016
    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

4 authors at 2 institutions in 1 country.

Andrea De LorenzoClinica de Diagnostico por Imagem, Av Ataulfo de Paiva 669, Rio de Janeiro, RJ, 22440-032, Brazil. andlorenzo@hotmail.com.
Thais PeclatSchool of Medicine, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Ana Carolina AmaralSchool of Medicine, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Ronaldo S L LimaClinica de Diagnostico por Imagem, Av Ataulfo de Paiva 669, Rio de Janeiro, RJ, 22440-032, Brazil.
Centrus Diagnósticos por Imagem · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to evaluate the prognostic value of myocardial perfusion SPECT obtained in CZT cameras (CZT-SPECT) with multipinhole collimation in obese patients. CZT-SPECT may be technically challenging in the obese, and its prognostic value remains largely unknown. Patients underwent single-day, rest/stress (supine and prone) imaging. Images were visually inspected and graded as poor, fair or good/excellent. Summed stress and difference scores (SSS and SDS, respectively) were converted into percentages of total perfusion defect and of ischemic defect by division by the maximum possible score. Obesity was defined as a body mass index (BMI) ≥ 30 kg/m(2) and classified as class I (BMI 30-34.9 kg/m(2)), II (BMI 35-39.9 kg/m(2)), or III (BMI ≥ 40 kg/m(2)). Patients were followed-up by telephone interview for the occurrence of all-cause death, myocardial infarction or revascularization. A Cox proportional hazards analysis was used to assess the independent predictors of death. Among 1396 patients, 365 (26.1 %) were obese (mean BMI 33.9 ± 3.6; 17.5 % class I, 3.4 % class II, and 3.4 % class III). Image quality was good/excellent in 94.5 % of the obese patients. The annualized mortality rates were not significantly different among obese and non-obese patients, being <1 % with normal CZT-SPECT, and increased with the degree of scan abnormality in both obese and non-obese patients. Age, the use of pharmacologic stress and an abnormal CZT-SPECT, but not obesity, were independent predictors of death. In obese patients, single-day rest/stress CZT-SPECT with a multipinhole camera provides prognostic discrimination with high image quality.

Indexed as

AgedCadmiumCardiovascular DiseasesFemaleHeartHumansMaleMiddle AgedObesityPredictive Value of TestsPrognosisProportional Hazards ModelsReproducibility of ResultsTelluriumTomography, Emission-Computed, Single-PhotonZincCadmiumTelluriumZincCadmium-zinc-tellurideMultipinhole collimationMyocardial perfusion imagingObesityPrognosis

Identifiers

PMID26424491
OpenAlexW2269308845

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.