Evidence map›Paper›PMID 19568389›Full record

ArticleTexas Heart Institute journal2009

Myocardial perfusion imaging and cardiovascular outcomes in a cancer population.

Shalabh Chandra, Daniel J Lenihan, Wei Wei, Syed Wamique Yusuf, Ann T Tong

Abstract read
In one paragraph

Article in Texas Heart Institute journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Ischemic Heart Disease: Special Considerations in Cardio-Oncology.Current treatment options in cardiovascular medicine · 2017
    Review
  6. Review
  7. Article
  8. Review
  9. 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

5 authors.

Shalabh ChandraDepartment of Cardiology, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA.
Daniel J Lenihan
Wei Wei
Syed Wamique Yusuf
Ann T Tong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial perfusion imaging can predict outcomes in cardiac patients. However, limited data exist regarding its prediction of cardiovascular outcomes in cancer patients. We sought to determine whether myocardial perfusion imaging predicts long-term cardiovascular outcomes in cancer patients.We performed a retrospective review of 787 consecutive patients at our institution who underwent myocardial perfusion imaging from January 2001 through March 2003. The Cox proportional hazard model was applied, and total cardiac events, cardiac death, and all-cause death were determined for 3 years. We considered P <0.05 to be statistically significant.Patients with abnormal myocardial perfusion imaging results were more likely to be male and older, with heart disease, more vascular risk factors, and lower left ventricular ejection fraction (0.52 +/- 0.14 vs 0.63 +/- 0.11; P <0.001) than patients with normal myocardial perfusion imaging results. Multivariate predictors of total cardiac events included age (P = 0.023), hyperlipidemia (P = 0.0021), pharmacologic myocardial perfusion imaging (P <0.01), left ventricular ejection fraction (P <0.001), and abnormal myocardial perfusion imaging (P = 0.012). Multivariate predictors of cardiac death included age (P = 0.026) and left ventricular ejection fraction (P = 0.0001). Multivariate predictors of all-cause death were age (P = 0.0001), atrial fibrillation (P = 0.0012), and smoking (P <0.001). Overall survival was improved when patients took aspirin (P = 0.0002) and upon each unit increase in left ventricular ejection fraction (P <0.001).Myocardial perfusion imaging in cancer patients can predict 3-year cardiac outcomes. Increasing age, atrial fibrillation, and smoking were associated with worse outcomes, whereas higher left ventricular ejection fraction and the taking of aspirin were protective.

Indexed as

Myocardial Perfusion ImagingAgedAge FactorsAspirinAtrial FibrillationCardiovascular AgentsCardiovascular DiseasesFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasmsPredictive Value of TestsPrognosisProportional Hazards ModelsAspirinCardiovascular AgentsAspirin/therapeutic usecomorbiditycoronary disease/epidemiology/radionuclide imagingdeath, sudden, cardiac/prevention & controlelectrocardiographyexercise test/methods/statistics & numerical dataheart/radionuclide imagingmultivariate analysisneoplasms/epidemiology/mortalitypredictive value of testsproportional hazards modelretrospective studiesrisk assessment/methodsventricular function, left

Identifiers

PMID19568389
PMCPMC2696498

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.