Evidence map›Paper›PMID 36246085›Full record

ArticleJHEP reports : innovation in hepatology2022

Modelling polycystic liver disease progression using age-adjusted liver volumes and targeted mutational analysis.

Dana Sierks, Ria Schönauer, Anja Friedrich, Elena Hantmann, Jonathan de Fallois, Nikolas Linder, Janett Fischer, Adam Herber, Carsten Bergmann, Thomas Berg and 1 more

Open access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Medical Management of Polycystic Liver Disease: A Position Statement From the European Reference Network on Hepatological Diseases.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Guideline
  2. Article
  3. KDIGO 2025 ADPKD guideline: a commentary on diagnosis and management of hepatopancreatic manifestations by the ERA Working Group Genes & Kidney.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  4. In vivo base editing reduces liver cysts in autosomal dominant polycystic kidney disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  5. Review
  6. 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

11 authors at 2 institutions in 1 country.

Dana SierksDivision of Nephrology, Department of Internal Medicine, Leipzig University Medical Center, Leipzig, Germany.
Ria SchönauerDivision of Nephrology and Internal Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Anja FriedrichMedizinische Genetik Mainz, Limbach Genetics, Mainz, Germany.
Elena HantmannDivision of Nephrology and Internal Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Jonathan de FalloisDivision of Nephrology, Department of Internal Medicine, Leipzig University Medical Center, Leipzig, Germany.
Nikolas LinderDepartment of Radiology, Leipzig University Medical Center, Germany.
Janett FischerDivision of Hepatology, Department of Medicine II, Leipzig University Medical Center, Germany.
Adam HerberDivision of Hepatology, Department of Medicine II, Leipzig University Medical Center, Germany.
Carsten BergmannMedizinische Genetik Mainz, Limbach Genetics, Mainz, Germany.
Thomas BergDivision of Hepatology, Department of Medicine II, Leipzig University Medical Center, Germany.
Jan HalbritterDivision of Nephrology and Internal Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Leipzig University · DEHumboldt-Universität zu Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Polycystic liver disease (PLD) manifests as numerous fluid-filled cysts scattered throughout the liver parenchyma. PLD most commonly develops in females, either as an extra-renal manifestation of autosomal-dominant polycystic kidney disease (ADPKD) or as isolated autosomal-dominant polycystic liver disease (ADPLD). Despite known genetic causes, clinical variability challenges patient counselling and timely risk prediction is hampered by a lack of genotype-phenotype correlations and prognostic imaging classifications. Methods: We performed targeted next-generation sequencing and multiplex ligation-dependent probe amplification to identify the underlying genetic defect in a cohort of 80 deeply characterized patients with PLD. Identified genotypes were correlated with total liver and kidney volume (assessed by CT or MRI), organ function, co-morbidities, and clinical endpoints. Results: Monoallelic diagnostic variants were identified in 60 (75%) patients, 38 (48%) of which pertained to ADPKD-gene variants ( Conclusion: This study underlines the predictive value of providing a molecular diagnosis for patients with PLD. In addition, we propose a novel risk-classification model based on age- and height-adjusted total liver volume that could improve individual prognostication and personalized clinical management. Lay summary: Polycystic liver disease (PLD) is a highly variable condition that can be asymptomatic or severe. However, it is currently difficult to predict clinical outcomes such as hospitalization, symptom burden, and need for transplantation in individual patients. In the current study, we aimed to investigate the clinical value of genetic confirmation and an age-adjusted total liver volume classification for individual disease prediction. While genetic confirmation generally pointed to more severe disease, estimated age-adjusted increases in liver volume could be useful for predicting clinical outcomes.

Indexed as

ACGS, Association for Clinical Genomic SciencesACMG, American College of Medical genetics and GenomicsADPKDADPKD, autosomal-dominant polycystic kidney diseaseADPLDADPLD, autosomal-dominant polycystic liver diseaseESKD, end-stage kidney diseaseGANABhepatomegalyhTKV, height-adjusted total kidney volumehTLV, height-adjusted total liver volumeLRT, log-likelihood ratio testLTx, liver transplantationMCD, maximum cyst diameterMELD, model for end-stage liver diseaseMLPA, multiplex ligation-dependent probe amplificationnTKV, normalized total kidney volumenTLV, normalized total liver volumeOR, odds ratioPCLDPG, progression groupsPKD1PKD1, polycystin 1PKD2PKD2, polycystin 2PLDPLD, polycystic liver diseasepolycystic diseasepolycystic kidney diseasePRKCSHSEC63tNGS, targeted next-generation sequencingtotal liver volumeVUS, variants of uncertain significance

Identifiers

PMID36246085
PMCPMC9563211
OpenAlexW4295007763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.