Evidence map›Paper›PMID 32386203›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2020

Incremental value of diastolic stress test in identifying subclinical heart failure in patients with diabetes mellitus.

Tomoko Nishi, Yukari Kobayashi, Jeffrey W Christle, Nicholas Cauwenberghs, Kalyani Boralkar, Kegan Moneghetti, Myriam Amsallem, Kristofer Hedman, Kévin Contrepois, Jonathan Myers and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 9% 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, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 3 countries.

Tomoko NishiDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Yukari KobayashiDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jeffrey W ChristleDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nicholas CauwenberghsResearch Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Kapucijnenvoer 35 blok d - box 7001 3000 Leuven, Belgium.
Kalyani BoralkarDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Kegan MoneghettiDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Myriam AmsallemDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Kristofer HedmanStanford Cardiovascular Institute, 300 Pasteur Dr H2170, Stanford, CA 94305, USA.
Kévin ContrepoisDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Jonathan MyersDivision of Cardiology, Veterans Affairs Palo Alto Healthcare System and Stanford University, 3801 Miranda Avenue, Palo Alto, CA 94304, USA.
Kenneth W MahaffeyDepartment of Medicine, Stanford Center for Clinical Research, 300 Pasteur Dr, Stanford, CA 94305, USA.
Ingela SchnittgerDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Tatiana KuznetsovaResearch Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Kapucijnenvoer 35 blok d - box 7001 3000 Leuven, Belgium.
Latha PalaniappanDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Francois HaddadDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Cardiovascular Institute of the South · USKU Leuven · BECenter for Clinical Research (United States) · USLinköping University · SEStanford Medicine · USStanford University · USVA Palo Alto Health Care System · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
NIDDK NIH HHS P30 DK116074RRD VA IK6 RX002477
6 · The paper itself

Abstract

aimsResting echocardiography is a valuable method for detecting subclinical heart failure (HF) in patients with diabetes mellitus (DM). However, few studies have assessed the incremental value of diastolic stress for detecting subclinical HF in this population. METHODS AND

resultsAsymptomatic patients with Type 2 DM were prospectively enrolled. Subclinical HF was assessed using systolic dysfunction (left ventricular longitudinal strain <16% at rest and <19% after exercise in absolute value), abnormal cardiac morphology, or diastolic dysfunction (E/e' > 10). Metabolic equivalents (METs) were calculated using treadmill speed and grade, and functional capacity was assessed by percent-predicted METs (ppMETs). Among 161 patients studied (mean age of 59 ± 11 years and 57% male sex), subclinical HF was observed in 68% at rest and in 79% with exercise. Among characteristics, diastolic stress had the highest yield in improving detection of HF with 57% of abnormal cases after exercise and 45% at rest. Patients with revealed diastolic dysfunction during stress had significantly lower exercise capacity than patients with normal diastolic stress (7.3 ± 2.1 vs. 8.8 ± 2.5, P < 0.001 for peak METs and 91 ± 30% vs. 105 ± 30%, P = 0.04 for ppMETs). On multivariable modelling found that age (beta = -0.33), male sex (beta = 0.21), body mass index (beta = -0.49), and exercise E/e' >10 (beta = -0.17) were independently associated with peak METs (combined R2 = 0.46). A network correlation map revealed the connectivity of peak METs and diastolic properties as central features in patients with DM.

conclusionDiastolic stress test improves the detection of subclinical HF in patients with diabetes mellitus.

Indexed as

CardiomyopathiesDiabetes Mellitus, Type 2Heart FailureVentricular Dysfunction, LeftAgedDiastoleExercise TestFemaleHumansMaleMiddle AgedVentricular Function, Leftdiabetic cardiomyopathydiastolic stressearly-stage heart failure

Identifiers

PMID32386203
PMCPMC7369686
OpenAlexW3021279052

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.