Evidence map›Paper›PMID 33433746›Full record

ArticleThe international journal of cardiovascular imaging2021

Quantitative assessment of left ventricular myocardial work in chronic kidney disease patients by a novel non-invasive pressure-strain loop analysis method.

Feng-Zhen Liu, Xiao-Lin Wang, Chun-Quan Zhang

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Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Myocardial work in chronic kidney disease: insights from the CPH-CKD ECHO Study.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. 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

3 authors.

Feng-Zhen LiuDepartment of Ultrasound, the Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, Jiangxi, China.
Xiao-Lin WangDepartment of Ultrasound, the Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, Jiangxi, China.
Chun-Quan ZhangDepartment of Ultrasound, the Second Affiliated Hospital of Nanchang University, No.1, Minde Road, Donghu District, Nanchang, 330006, Jiangxi, China. doctorCQZhang@163.com.ORCID http://orcid.org/0000-0003-2684-5987

Funding

Key Science and Technology Research Project of the Department of Education, Jiangxi Province 19002Postgraduate Innovation Special Fund project of Nanchang University CX 2019135
6 · The paper itself

Abstract

This study aimed to quantitatively evaluate myocardial work (MW) in advanced stage 3-5 chronic kidney disease (CKD) by a novel non-invasive left ventricular (LV) Pressure-strain loop analysis (PSL). 144 patients with CKD were included (68 with stage 3 CKD group, 76 with stage 4/5 CKD group), and 48 healthy patients were recruited as the control group. All subjects had undergone transthoracic echocardiography. LV myocardial work and efficiency were estimated from LV PSL analysis. There was a significant progressive increase in global work waste (GWW) and reduction in global work efficiency (GWE) in CKD compared to normal controls. No difference in global work index (GWI) and global constructive work (GCW) was observed among the three groups. Subdivided analysis according to systolic blood pressure (SBP) and LV geometry discovered that increased GWW seems to be present frequently in CKD patients with elevated SBP or LV hypertrophy (LVH). Multivariate analysis showed increased peak strain dispersion (PSD), SBP, LV mass index (LVMI), and decreased estimated glomerular filtration rate (eGFR) were significantly associated with increased GWW. The decline of renal function followed by impaired paralleled myocardial energy exploitation. Moreover, increased PSD, SBP, LVMI, and decreased eGFR might be potential drivers of increased GWW.

Indexed as

Renal Insufficiency, ChronicVentricular Function, LeftEchocardiographyHumansHypertrophy, Left VentricularPredictive Value of TestsStroke VolumeChronic kidney diseaseLeft ventricleMyocardial workPressure–strain loop

Identifiers

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Registered trials

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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.