Evidence map›Paper›PMID 29444164›Full record

ArticlePloS one2018

Evolution of nodule stiffness might predict response to local ablative therapy: A series of patients with hepatocellular carcinoma.

Michael Praktiknjo, Viktoria Krabbe, Alessandra Pohlmann, Matthias Sampels, Christian Jansen, Carsten Meyer, Christian P Strassburg, Jonel Trebicka, Maria A Gonzalez Carmona

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06523608 (Prediction of Decompensation and HCC Development in Patients With Advanced Chronic Liver Disease by the PLEASE and M10S20 Algorithms), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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.

NCT06523608 recruitingnot on this mapstarted 2024, after this paper: background citation

Prediction of Decompensation and HCC Development in Patients With Advanced Chronic Liver Disease by the PLEASE and M10S20 Algorithms

Typeobservational_patient_registrySponsorUniversity Hospital MuensterRan2024 to 2027Enrolled600ConditionsLiver Diseases, Hepatocellular Carcinoma, Hepatocarcinoma, Advanced Chronic Liver DiseaseArmsStandard survillance protocol, Stratified survillance protocol
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Prognostication of Liver Disease Patients via the WFUMB 'Rule-of-4' Algorithm Using SSI-2D-SWE-Based Liver Stiffness Measurement.Liver international : official journal of the International Association for the Study of the Liver · 2026
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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

9 authors at 1 institution in 2 countries.

Michael PraktiknjoDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.
Viktoria KrabbeDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.
Alessandra PohlmannDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.
Matthias SampelsDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.
Christian JansenDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.
Carsten MeyerDepartment of Radiology, University of Bonn, Bonn, Germany.
Christian P StrassburgDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.
Jonel TrebickaDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.ORCID 0000-0002-7028-3881
Maria A Gonzalez CarmonaDepartment of Internal Medicine I, University of Bonn, Bonn, Germany.
University of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly information on treatment response of HCC to local ablative therapy is crucial. Elastography as a non-invasive method has recently been shown to play a potential role in distinguishing between benign and malignant liver lesions. Elastography of hepatocellular carcinoma (HCC) in early response to local ablative therapy has not been studied to date.

methodsWe prospectively included a cohort of 14 patients with diagnosis of HCC who were treated with local ablative therapy (transarterial chemoembolization, TACE and/or radiofrequency ablation, RFA). We used 2D shear-wave elastography (RT 2D-SWE) to examine stiffness of HCC lesion before and 3, 30 and 90 days after local ablative therapy. Contrast-enhanced imaging after 90 days was performed to evaluate treatment response. Primary endpoint was stiffness of HCC in response to local ablative therapy. Secondary end point was tumor recurrence.

resultsStiffness of HCC nodules and liver showed no significant difference prior to local ablative therapy. As early as three days after treatment, stiffness of responding HCC was significantly higher compared to non-responding. Higher stiffness before treatment was significantly associated with tumor recurrence.

conclusionNodule stiffness in general and RT 2D-SWE in particular could provide a useful tool for early prediction of HCC response to local ablative therapy.

Indexed as

AgedAged, 80 and overCarcinoma, HepatocellularCatheter AblationChemoembolization, TherapeuticCohort StudiesElasticityElasticity Imaging TechniquesFemaleHumansLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalProspective Studies

Identifiers

PMID29444164
PMCPMC5812654
OpenAlexW2785961361

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.