Evidence map›Paper›PMID 36795353›Full record

SynthesisBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2023

Systematic Literature Review of Economic Evaluations of Treatment Alternatives in Chronic Lymphocytic Leukemia.

László Lorenzovici, László Szilberhorn, Szabolcs Farkas-Ráduly, Andrea Ildiko Gasparik, Andreea Mihaela Precup, Adél Gyöngyvér Nagy, Carsten Utoft Niemann, Tero Aittokallio, Zoltán Kaló, Marcell Csanádi

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.0field-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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors at 6 institutions in 6 countries.

László LorenzoviciSyreon Research Romania, Targu Mures, Romania.
László SzilberhornSyreon Research Institute, Budapest, Hungary.
Szabolcs Farkas-RádulySyreon Research Romania, Targu Mures, Romania.
Andrea Ildiko GasparikGeorge Emil Palade University of Medicine, Pharmacy, Science and Technology, Targu Mures, Romania.
Andreea Mihaela PrecupSyreon Research Romania, Targu Mures, Romania.
Adél Gyöngyvér NagySyreon Research Romania, Targu Mures, Romania.
Carsten Utoft NiemannDepartment of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Tero AittokallioInstitute for Molecular Medicine Finland, Helsinki Institute for Life Sciences, University of Helsinki, Helsinki, Finland.
Zoltán KalóSyreon Research Institute, Budapest, Hungary.
Marcell CsanádiSyreon Research Institute, Budapest, Hungary. marcell.csanadi@syreon.eu.ORCID http://orcid.org/0000-0002-5724-639X
Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · ROBeth Mardutho · USOslo University Hospital · NOSemmelweis University · HUSyreon Research Institute (Hungary) · HUUniversity of Copenhagen · DK

Funding

European Commision's European Partnership for Personalised Medicine CLL-CLUE project
6 · The paper itself

Abstract

backgroundEconomic evaluations are widely used to predict the economic impact of new treatment alternatives. Comprehensive economic reviews in the field of chronic lymphocytic leukemia (CLL) are warranted to supplement the existing analyses focused on specific therapeutic areas.

methodsA systematic literature review was conducted based on literature searches in Medline and EMBASE to summarize the published health economics models related to all types of CLL therapies. Narrative synthesis of relevant studies was performed focusing on compared treatments, patient populations, modelling approaches and key findings.

resultsWe included 29 studies, the majority of which were published between 2016 and 2018, when data from large clinical trials in CLL became available. Treatment regimens were compared in 25 cases, while the remaining four studies considered treatment strategies with more complex patient pathways. Based on the review results, Markov modelling with a simple structure of three health states (progression-free, progressed, death) can be considered as the traditional basis to simulate cost effectiveness. However, more recent studies added further complexity, including additional health states for different therapies (e.g. best supportive care or stem cell transplantation), for progression-free state (e.g. by differentiating between with or without treatment), or for response status (i.e. partial response and complete response).

conclusionsAs personalized medicine is increasingly gaining recognition, we expect that future economic evaluations will also incorporate new solutions, which are necessary to capture a larger number of genetic and molecular markers and more complex patient pathways with individual patient-level allocation of treatment options and thus economic assessments.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellCost-Benefit AnalysisHumans

Identifiers

PMID36795353
PMCPMC9971131
OpenAlexW4321003665

What Socratic 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 Socratic graph.