Evidence map›Paper›PMID 42031432›Full record

SynthesisOpen heart2026

Relative apical sparing of left ventricular longitudinal strain for the diagnosis of cardiac amyloidosis: a systematic review and meta-analysis.

Omar Ahmad, Museera I Khan, Mohamed H Omer, Talal Alzahrani, Mohammed Janjua, Zyad Echahidi, Suleiman M Kharabsheh, François Tournoux, Hani AlSergani, Thibaud Damy and 3 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Open heart, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Omar AhmadCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Museera I KhanDepartment of Internal Medicine, Mercy Health St Vincent Medical Center, Toledo, Ohio, USA.
Mohamed H OmerSchool of Medicine, Cardiff University, Cardiff, UK.
Talal AlzahraniDepartment of Medicine, Taibah University, Medina, Saudi Arabia.
Mohammed JanjuaCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Zyad EchahidiUniversité Libre de Bruxelles, Brussels, Belgium.
Suleiman M KharabshehHeart Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
François TournouxResearch Center, University of Montreal, Montreal, Québec, Canada.
Hani AlSerganiHeart Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Thibaud DamyDepartment of Cardiology, Centre Hospitalier Universitaire Henri Mondor, Créteil, France.
Olivier LairezDepartment of Cardiology, University Hospital Centre Toulouse, Toulouse, France.
Rafael J VieiraMEDCIDS, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal.
Dania MohtyCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia dania.mohty@gmail.com.ORCID 0000-0001-5967-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac amyloidosis (CA) is underdiagnosed due to non-specific clinical and echocardiographic features. This systematic review and meta-analysis evaluated the diagnostic accuracy of the left ventricular relative apical sparing (RELAPS) pattern on speckle-tracking echocardiography.

methodsA literature search of PubMed, Scopus and Cochrane was conducted through August 2025. RELAPS was defined as the average apical longitudinal strain divided by the sum of average basal and average middle left ventricular longitudinal strains. Diagnostic accuracy was assessed using a bivariate random-effects model. Subgroup analyses by CA subtype and echocardiogram software, and meta-regression for clinical variables, were performed. Optimal cut-offs were determined by maximising the Youden index. Analyses were conducted in R V.4.4.1.

resultsForty-one studies (3473 CA; 4525 comparators) were included. Pooled analysis yielded an area under the receiver operating characteristic curve (AUC-ROC) of 0.818, with sensitivity 65.9% (95% CIs 59.2% to 72.0%) and specificity 83.1% (CI 78.5% to 86.8%). The diagnostic oods ratio (DOR) was 9.54 (CI 7.41 to 12.10). In subtype analyses, immunoglobulin light chains (AL-CA) showed AUC-ROC 0.876, sensitivity 59.8% (CI 41.1% to 76.0%) and specificity 92.7% (CI 83.6% to 96.9%); transthyretin (ATTR-CA) showed AUC-ROC 0.822, sensitivity 63.8% (CI 51.2% to 74.8%) and specificity 84.4% (CI 76.7% to 89.9%), with no significant differences between subtypes (sensitivity p=0.760; specificity p=0.172). Three echocardiography software systems were evaluated. GE EchoPAC (26 studies) achieved an AUC-ROC of 0.822 (sensitivity 70.4% (CI 64.1% to 76.0%), specificity 81.2% (CI 75.7% to 85.7%)). Philips QLAB (four studies) performed comparably (AUC-ROC 0.904; sensitivity 67.6% (CI 31.2% to 90.6%), specificity 92.7% (CI 73.6% to 98.3%)). In contrast, TomTec (four studies) had an AUC-ROC of 0.806, but its sensitivity (31.1% (CI 9.4% to 66.3%)) was significantly lower than GE EchoPAC's (p<0.001), despite a similar specificity (93.6% (CI 78.8% to 98.3%)).

conclusionRELAPS provides moderate diagnostic accuracy for identifying CA, with good specificity and modest sensitivity. Performance varies by analysis software and threshold, underscoring the need for standardised measurement and prespecified cut-offs.

Indexed as

AmyloidosisCardiomyopathiesEchocardiographyHeart VentriclesVentricular Function, LeftGlobal Longitudinal StrainHumansAmyloidosisCardiomyopathy, RestrictiveDiagnostic ImagingEchocardiographyHeart Failure, Diastolic

Identifiers

PMID42031432
PMCPMC13110691

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.