Evidence map›Paper›PMID 26705487›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2016

Creation of mortality risk charts using 123I meta-iodobenzylguanidine heart-to-mediastinum ratio in patients with heart failure: 2- and 5-year risk models.

Kenichi Nakajima, Tomoaki Nakata, Shinro Matsuo, Arnold F Jacobson

Open access · hybridAbstract readComparative Study
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
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  4. Article
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  6. Review
  7. CardiacPharmaceuticals (Basel, Switzerland) · 2022
    Review
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  9. Machine learning-based risk model usingJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
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  10. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
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  11. Article
  12. How do we establish cardiac sympathetic nervous system imaging withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
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  13. Assessing arrhythmic risk withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
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  14. A European myocardialJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
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  15. Article
  16. Article
  17. Influence of ROI definition on the heart-to-mediastinum ratio in planarJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  18. Review
  19. New horizons in cardiac innervation imaging: introduction of novelEuropean journal of nuclear medicine and molecular imaging · 2017
    Review
  20. Cross calibration ofAnnals of nuclear medicine · 2017
    Article
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.

Kenichi NakajimaDepartment of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa 920-8641, Japan nakajima@med.kanazawa-u.ac.jp.
Tomoaki NakataHakodate Goryoukaku Hospital, Hakodate-City, Japan.
Shinro MatsuoDepartment of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa 920-8641, Japan.
Arnold F JacobsonDiagram Consulting, Kihei, HI, USA.
Kanazawa University Hospital · JPHakodate National Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims(123)I meta-iodobenzylguanidine (MIBG) imaging has been extensively used for prognostication in patients with chronic heart failure (CHF). The purpose of this study was to create mortality risk charts for short-term (2 years) and long-term (5 years) prediction of cardiac mortality. METHODS AND

resultsUsing a pooled database of 1322 CHF patients, multivariate analysis, including (123)I-MIBG late heart-to-mediastinum ratio (HMR), left ventricular ejection fraction (LVEF), and clinical factors, was performed to determine optimal variables for the prediction of 2- and 5-year mortality risk using subsets of the patients (n = 1280 and 933, respectively). Multivariate logistic regression analysis was performed to create risk charts. Cardiac mortality was 10 and 22% for the sub-population of 2- and 5-year analyses. A four-parameter multivariate logistic regression model including age, New York Heart Association (NYHA) functional class, LVEF, and HMR was used. Annualized mortality rate was <1% in patients with NYHA Class I-II and HMR ≥ 2.0, irrespective of age and LVEF. In patients with NYHA Class III-IV, mortality rate was 4-6 times higher for HMR < 1.40 compared with HMR ≥ 2.0 in all LVEF classes. Among the subset of patients with b-type natriuretic peptide (BNP) results (n = 491 and 359 for 2- and 5-year models, respectively), the 5-year model showed incremental value of HMR in addition to BNP.

conclusionBoth 2- and 5-year risk prediction models with (123)I-MIBG HMR can be used to identify low-risk as well as high-risk patients, which can be effective for further risk stratification of CHF patients even when BNP is available.

Indexed as

3-IodobenzylguanidineCause of DeathAgedChronic DiseaseCohort StudiesDatabases, FactualFemaleHeart FailureHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPositron-Emission TomographyPredictive Value of TestsProportional Hazards Models3-Iodobenzylguanidine123I meta-iodobenzylguanidinecardiac deathchronic heart failureprediction modelprognosisrisk chart

Identifiers

PMID26705487
PMCPMC5031228
OpenAlexW2286595700

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.