Evidence map›Paper›PMID 36474142›Full record

ArticleBMC cardiovascular disorders2022

Prognostic value of cardiac magnetic resonance imaging parameters in left ventricular noncompaction with left ventricular dysfunction.

Wei Bai, Rong Xu, Xiao Li, Huayan Xu, Hang Fu, Ruilai Hou, Ziqi Zhou, Wei Huang, Yining Wang, Yingkun Guo

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 3 institutions in 1 country.

Wei Bai *Department of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China.
Rong Xu *Department of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China.
Xiao Li *Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Huayan XuDepartment of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China.
Hang FuDepartment of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China.
Ruilai HouDepartment of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China.
Ziqi ZhouDepartment of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China.
Wei HuangDepartment of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China.
Yining WangDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China. wangyining@pumch.cn.
Yingkun GuoDepartment of Radiology, State Key Laboratory of Biotherapy, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, 20# South Renmin Road, Chengdu, 610041, Sichuan, China. gykpanda@163.com.ORCID 0000-0001-8437-9887
State Key Laboratory of BiotherapyChinese Academy of Medical Sciences & Peking Union Medical College · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac magnetic resonance (CMR) has been used to diagnose and risk-stratify patients with left ventricular noncompaction (LVNC). The prognostic value of CMR parameters for LVNC, especially feature tracking (CMR-FT), is not well known in LVNC patients with left ventricular dysfunction. The present study aimed to investigate whether the combination of CMR-FT with traditional CMR parameters can increase the prognostic value of CMR for LVNC patients with reduced left ventricular ejection fraction (LVEF).

methodsA total of 123 candidates were retrospectively included in this multicenter study and 55 LVNC patients (mean age, 45.7 ± 16.2 years; 61.8% men) remained after applying the exclusion criteria. Clinical features, left ventricular (LV) function parameters, global and segment myocardial strain, and late gadolinium enhancement (LGE) were evaluated. The outcomes include the composite events of cardiovascular death, heart transplantation, hospitalization for heart failure, thromboembolic events, and ventricular arrhythmias.

resultsAfter a median follow-up of 5.17 years (interquartile range: 0.17 to 10.58 years), 24 (36.8%) patients experienced at least one major adverse cardiovascular event (MACE). The myocardial strain parameters of patients with events were lower than those of patients without events. In the univariable Cox analysis, LVEF, the presence of LGE, global longitudinal strain (GLS) and segmental strains, including longitudinal strain at the apical level and radial and circumferential strain at the basal level, were significantly associated with MACEs. In the multivariate analysis, LGE (hazard ratio (HR) 3.452, 95% CI 1.133 to 10.518, p = 0.029) was a strong predictor of MACEs and significantly improved the predictive value (chi-square of the model after adding LGE: 7.51 vs. 13.47, p = 0.009). However, myocardial strain parameters were not statistically significant for the prediction of MACEs after adjusting for age, body mass index, LVEF and the presence of LGE and did not increase the prognostic value (chi-square of the model after adding GLS: 13.47 vs. 14.14, p = 0.411) in the multivariate model.

conclusionsThe combination of CMR-FT with traditional CMR parameters may not increase the prognostic value of CMR in LVNC patients with reduced LVEF, while the presence of LGE was a strong independent predictor of MACEs and significantly improved the predictive value.

Indexed as

Contrast MediaVentricular Dysfunction, LeftAdultGadoliniumHumansMagnetic Resonance ImagingMiddle AgedPrognosisRetrospective StudiesStroke VolumeVentricular Function, LeftContrast MediaGadoliniumCardiovascular magnetic resonanceFeature trackingLate gadolinium enhancementLeft ventricular noncompactionPrognosis

Identifiers

PMID36474142
PMCPMC9724297
OpenAlexW4311577407

What OpenQuestion holds

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LicenceCC BY
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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.