Evidence map›Paper›PMID 34146196›Full record

SynthesisClinical and experimental medicine2022

Second-line treatments for Advanced Hepatocellular Carcinoma: A Systematic Review and Bayesian Network Meta-analysis.

Antonio Giovanni Solimando, Nicola Susca, Antonella Argentiero, Oronzo Brunetti, Patrizia Leone, Valli De Re, Rossella Fasano, Markus Krebs, Elisabetta Petracci, Irene Azzali and 4 more

Open access · hybridAbstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Clinical and experimental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
6.2field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 58 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

14 authors at 5 institutions in 2 countries.

Antonio Giovanni Solimando *Guido Baccelli Unit of Internal Medicine, Department of Biomedical Sciences and Human Oncology, School of Medicine, Aldo Moro University of Bari, Bari, Italy.
Nicola Susca *Guido Baccelli Unit of Internal Medicine, Department of Biomedical Sciences and Human Oncology, School of Medicine, Aldo Moro University of Bari, Bari, Italy.
Antonella ArgentieroIRCCS Istituto Tumori Giovanni Paolo II of Bari, Bari, Italy.
Oronzo BrunettiIRCCS Istituto Tumori Giovanni Paolo II of Bari, Bari, Italy.
Patrizia LeoneGuido Baccelli Unit of Internal Medicine, Department of Biomedical Sciences and Human Oncology, School of Medicine, Aldo Moro University of Bari, Bari, Italy.
Valli De ReBio-Proteomics Facility, Department of Translational Research, Centro Di Riferimento Oncologico Di Aviano (CRO) IRCCS, Aviano, Italy.
Rossella FasanoIRCCS Istituto Tumori Giovanni Paolo II of Bari, Bari, Italy.
Markus KrebsComprehensive Cancer Center Mainfranken, University Hospital Würzburg, Würzburg, Germany.
Elisabetta PetracciUnit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo Per Lo Studio E La Cura Dei Tumori (IRST) IRCCS, Meldola, Italy.
Irene AzzaliUnit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo Per Lo Studio E La Cura Dei Tumori (IRST) IRCCS, Meldola, Italy.
Oriana NanniUnit of Biostatistics and Clinical Trials, Istituto Scientifico Romagnolo Per Lo Studio E La Cura Dei Tumori (IRST) IRCCS, Meldola, Italy.
Nicola SilvestrisIRCCS Istituto Tumori Giovanni Paolo II of Bari, Bari, Italy. n.silvestris@oncologico.bari.it.
Angelo Vacca *Guido Baccelli Unit of Internal Medicine, Department of Biomedical Sciences and Human Oncology, School of Medicine, Aldo Moro University of Bari, Bari, Italy.
Vito Racanelli *Guido Baccelli Unit of Internal Medicine, Department of Biomedical Sciences and Human Oncology, School of Medicine, Aldo Moro University of Bari, Bari, Italy. vito.racanelli1@uniba.it.ORCID http://orcid.org/0000-0002-8639-1940
Istituto Tumori Bari · ITUniversity of Bari Aldo Moro · ITIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITCentro di Riferimento Oncologico · ITComprehensive Cancer Center Mainfranken · DE

Funding

Associazione Italiana per la Ricerca sul Cancro 20441
6 · The paper itself

Abstract

BACKGROUND &

aimsA plethora of second-line therapies have been recently introduced for hepatocellular carcinoma (HCC) treatment with promising results. A meta-analysis of second-line treatments for HCC has been performed to better tailor their use based on improved patient stratification and to identify the best available option.

methodsPubmed, Scopus, Web of Science, and ClinicalTrials.gov were searched for randomized controlled trials evaluating second-line treatment for advanced HCC in patients already treated with sorafenib. The primary outcome was overall survival (OS). Secondary outcomes were progression-free survival (PFS) and drug withdrawal due to adverse events. Network meta-analyses were performed considering placebo as the basis for comparison in efficacy and safety analyses. Subgroup stratification considered gender, age, sorafenib-responsiveness and drug tolerability, viral infection, macrovascular invasion, HCC extrahepatic spread, performance status, and alpha-fetoprotein levels.

resultsFourteen phase II or III randomized controlled trials, involving 5,488 patients and 12 regimens, were included in the analysis. Regorafenib (hazard ratio (HR) = 0.63, 95% confidence interval (CI) = 0.50-0.79), cabozantinib (HR = 0.76, 95% CI = 0.63-0.92), and ramucirumab (HR = 0.82, 95% CI = 0.70-0.76) significantly prolonged OS compared with placebo. Cabozantinib (HR = 0.44, 95% CI = 0.36-0.52), regorafenib (HR = 0.46, 95% CI = 0.37-0.56), ramucirumab (HR = 0.54, 95% CI = 0.43-0.68), brivanib (HR = 0.56, 95% CI = 0.42-0.76), S-1 (HR = 0.60, 95% CI = 0.46-0.77), axitinib (HR = 0.62, 95% CI = 0.44-0.87), and pembrolizumab (HR = 0.72, 95% CI = 0.57-0.90) significantly improved PFS compared with placebo. None of the compared drugs deemed undoubtedly superior after having performed a patients' stratification.

conclusionsThe results of this network meta-analysis suggest the use of regorafenib and cabozantinib as second-line treatments in HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBayes TheoremHumansSorafenibSorafenibHepatocellular carcinomaNetwork meta-analysisSecond-line treatment

Identifiers

PMID34146196
PMCPMC8863772
OpenAlexW3169176494

What OpenQuestion holds

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LicenceCC BY
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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.