Evidence map›Paper›PMID 39147985›Full record

ArticleAnnals of hematology2025

Diagnostic performance of liver stiffness as marker of liver involvement in systemic immunoglobulin light chain (AL) amyloidosis.

Anne F Brunger, Hendrea S A Tingen, Johan Bijzet, Ronald van Rheenen, Hans Blokzijl, Wilfried W H Roeloffzen, Ewout J Houwerzijl, Friso L H Muntinghe, Riemer H J A Slart, Reinold O B Gans and 3 more

Abstract read
In one paragraph

Article in Annals of hematology, 2025. 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. Review
  2. [Clinical features and pathological scoring analysis of hepatic amyloidosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

13 authors.

Anne F BrungerDepartments of Rheumatology and Clinical Immunology, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands. annefloorbrunger@hotmail.com.
Hendrea S A TingenDepartments of Nuclear Medicine and Molecular Imaging, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Johan BijzetDepartments of Laboratory medicine, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Ronald van RheenenDepartment of Nuclear Medicine, Medical Center Leeuwarden, Leeuwarden, The Netherlands.
Hans BlokzijlDepartments of Gastroenterology, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Wilfried W H RoeloffzenDepartments of Hematology, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Ewout J HouwerzijlDepartments of Internal Medicine, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Friso L H MuntingheDepartments of Internal Medicine, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Riemer H J A SlartDepartments of Nuclear Medicine and Molecular Imaging, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Reinold O B GansDepartments of Internal Medicine, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Christoph KimmichDepartment of Oncology and Hematology, Klinikum Oldenburg, University Medicine Oldenburg, Oldenburg, Germany.
Bouke P C HazenbergDepartments of Rheumatology and Clinical Immunology, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.
Hans L A NienhuisDepartments of Internal Medicine, Amyloidosis Center of Expertise, University Medical Center Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the diagnostic performance of liver stiffness for detecting liver involvement in immunoglobulin light chain (AL) amyloidosis.

methodsLiver stiffness was measured using transient elastography in 71 patients with systemic AL amyloidosis and 18 patients with wild type transthyretin (ATTRwt) amyloidosis with cardiomyopathy. Both non-invasive consensus criteria and serum amyloid P component (SAP) scintigraphy were used as substitute standards instead of liver biopsy for establishing liver involvement.

resultsLiver stiffness was higher in AL amyloidosis patients with liver involvement than in those without: this was observed using both consensus criteria (median 14.4 kPa vs. 8.1 kPa; p = 0.001) and SAP scintigraphy (median 20.9 kPa vs. 6.2 kPa; p < 0.001). Liver stiffness was also higher in AL amyloidosis patients with liver involvement compared to AL and ATTRwt amyloidosis patients with cardiac involvement. Based on receiver operating characteristic (ROC) curves a cut-off value of 14.4 kPa for stiffness was optimal to indicate liver involvement, providing sensitivity and specificity of 50% and 74%, respectively, using the consensus criteria and 63% and 90%, respectively, using SAP scintigraphy as standard.

conclusionLiver stiffness is a promising tool to establish liver involvement in AL amyloidosis having potential to become part of updated criteria for liver involvement.

Indexed as

Elasticity Imaging TechniquesImmunoglobulin Light-chain AmyloidosisLiverLiver DiseasesAdultAgedAged, 80 and overBiomarkersCardiomyopathiesFemaleHumansMaleMiddle AgedROC CurveSerum Amyloid P-ComponentBiomarkersSerum Amyloid P-ComponentAL amyloidosisFibroscanHepatic amyloidosisLiver stiffnessSAP scintigraphy

Identifiers

PMID39147985
PMCPMC11868187

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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.