Evidence map›Paper›PMID 26892325›Full record

Observational studyCardiovascular diabetology2016

Diabetes is an independent predictor of right ventricular dysfunction post ST-elevation myocardial infarction.

Idan Roifman, Nilesh Ghugre, Mohammad I Zia, Michael E Farkouh, Anna Zavodni, Graham A Wright, Kim A Connelly

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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  5. Utilization and impact of cardiovascular magnetic resonance on patient management in heart failure: insights from the SCMR Registry.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
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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

7 authors at 3 institutions in 1 country.

Idan RoifmanSchulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada. idan.roifman@mail.utoronto.ca.
Nilesh GhugreSchulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada. nghugre@sri.utoronto.ca.
Mohammad I ZiaSchulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada. mo.zia@utoronto.ca.
Michael E FarkouhDivision of Cardiology, University Health Network, University of Toronto, Toronto, ON, Canada. michael.farkouh@uhn.ca.
Anna ZavodniSchulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada. anna.zavodni@sunnybrook.ca.
Graham A WrightSchulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada. gawright@sri.utoronto.ca.
Kim A ConnellySchulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada. connellyk@smh.ca.
Health Sciences Centre · CASunnybrook Health Science Centre · CAUniversity of Toronto · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM) is estimated to become the 7th leading cause of death by 2030. Right ventricular dysfunction (RVD) complicating ST elevation myocardial infarction (STEMI) is independently associated with a higher mortality; however the relationship between DM and RVD is currently unknown. The purpose of this study was to determine whether DM is an independent predictor for the presence of right ventricular dysfunction (RVD) post STEMI.

methods106 patients post primary PCI for STEMI were enrolled in the study. Cardiac MRI was performed within 48-72 h after admission in order to assess ventricular function. Statistical analysis consisted initially of descriptive statistics including Chi square, Fisher's exact, or the Wilcoxon rank sum as appropriate. Subsequently, logistic regression analysis was performed to determine independent predictors of RVD.

resultsThe median age in the study was 58 years (IQR 53, 67). 30 % of the patients had diabetes. Of 99 patients for which RV data was available, 40 had RVD and 59 did not. Patients with DM were significantly more likely to have RVD when compared to those without diabetes (45 vs 22 %, p = 0.03). There was no significant difference in age, hypertension, smoking status, dyslipidemia, serum creatinine or peak CK levels between the two groups. After adjusting for other factors, presence of DM remained an independent predictor for the presence of RV dysfunction (OR 2.78, 95 % CI 1.12, 6.87, p = 0.03). Amongst diabetic patients, those with HbA1C ≥ 7 % had greater odds of having RVD vs those with HbA1C < 7 % (OR 5.58 (1.20, 25.78), p = 0.02).

conclusionsThe presence of DM conferred an approximately threefold greater odds of being associated with RVD post STEMI. No other major cardiovascular risk factors were independently associated with the presence of RVD.

Indexed as

Ventricular Function, RightAgedChi-Square DistributionDiabetes ComplicationsFemaleHumansLogistic ModelsMagnetic Resonance ImagingMaleMiddle AgedMyocardial InfarctionOdds RatioPercutaneous Coronary InterventionPredictive Value of TestsProspective StudiesRisk Assessment

Identifiers

PMID26892325
PMCPMC4759780
OpenAlexW2279839830

What OpenQuestion holds

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LicenceCC BY
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.