Evidence map›Paper›PMID 32695626›Full record

ArticleCardiovascular diagnosis and therapy2020

Left and right ventricular myocardial deformation and late gadolinium enhancement: incremental prognostic value in amyloid light-chain amyloidosis.

Xiao Li, Jian Li, Lu Lin, Kaini Shen, Zhuang Tian, Jian Sun, Congli Zhang, Jing An, Zhengyu Jin, Rozemarijn Vliegenthart and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Cardiovascular diagnosis and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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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

12 authors at 5 institutions in 4 countries.

Xiao LiDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jian LiDepartment of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Lu LinDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Kaini ShenDepartment of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhuang TianDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jian SunDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Congli ZhangDepartment of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jing AnSiemens Shenzhen Magnetic Resonance Ltd., Siemens MRI Center, Hi-Tech Industrial Park, Shenzhen, China.
Zhengyu JinDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Rozemarijn VliegenthartDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Joseph B SelvanayagamDepartment of Cardiovascular Medicine, Flinders University, Flinders Medical Centre, Adelaide, SA, Australia.
Yining WangDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFlinders Medical Centre · AUSiemens (China) · CNUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious cardiac magnetic resonance (CMR) studies have shown that both late gadolinium enhancement (LGE) and left ventricular (LV) strain have prognostic value in amyloid light-chain (AL) amyloidosis, but the right ventricular (RV) strain has not yet been studied. We aim to determine the incremental prognostic value of LV and RV LGE and strain in AL amyloidosis.

methodsThis prospective study recruited 87 patients (age, 56.9±9.1 years; M/F, 56/31) and 20 healthy subjects (age, 52.7±8.1 years; M/F, 11/9) who underwent CMR. The LV LGE was classified into no, patchy and global groups. The RV LGE was classified into negative and positive groups. Myocardial deformation was measured using a dedicated software. Follow-up was performed for all-cause mortality using Cox proportional hazards regression and Kaplan-Meier curves.

resultsDuring a median follow-up of 21 months, 34 deaths occurred. Presence of LV LGE [HR 2.44, 95% confidence interval (CI), 1.10-5.45, P=0.029] and global longitudinal strain (GLS) (HR 1.13 per 1% absolute decrease, 95% CI, 1.02-1.25, P=0.025) were independent LV predictors. RV LGE (HR 4.07, 95% CI, 1.09-15.24, P=0.037) and GLS (HR 1.10 per 1% absolute decrease, 95% CI, 1.00-1.21, P=0.047) were independent RV predictors. Complementary to LV LGE, LV GLS impairment or RV LGE further reduced survival (both log rank P<0.001).

conclusionsThis study confirms the incremental prognostic value of LV GLS and RV LGE in AL amyloidosis, which refines the conventional risk evaluation based on LV LGE. GLS based on non-contrast-enhanced CMR are promising new predictors.

Indexed as

Amyloidosiscardiomyopathiesmagnetic resonance imaging

Identifiers

PMID32695626
PMCPMC7369280
OpenAlexW3035625525

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.