Evidence map›Paper›PMID 25471553›Full record

SynthesisBMC pulmonary medicine2014

A systematic review of the cost-effectiveness of targeted therapies for metastatic non-small cell lung cancer (NSCLC).

Ansgar Lange, Anne Prenzler, Martin Frank, Heiko Golpon, Tobias Welte, J-Matthias von der Schulenburg

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC pulmonary medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. A systematic review of pharmacoeconomic evaluations of erlotinib in the first-line treatment of advanced non-small cell lung cancer.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Has the development of cancer biomarkers to guide treatment improved health outcomes?The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Article
  6. Article
  7. Afatinib for the treatment ofJournal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2020
    Review
  8. Article
  9. Review
  10. Article
  11. Integrin αVβOncology letters · 2018
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Single-agent bevacizumab is an effective treatment in recurrent glioblastoma.Medical oncology (Northwood, London, England) · 2015
    Article
  17. Dose-response : a publication of International Hormesis Society
    Article
  18. Article
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

6 authors at 2 institutions in 1 country.

Ansgar LangeLeibniz University Hannover, Center for Health Economics Research Hannover (CHERH), Otto-Brenner-Str, 1, D-30159 Hannover, Germany. al@ivbl.uni-hannover.de.
Anne Prenzler
Martin Frank
Heiko Golpon
Tobias Welte
J-Matthias von der Schulenburg
Leibniz University Hannover · DEMedizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) imposes a substantial burden on patients, health care systems and society due to increasing incidence and poor survival rates. In recent years, advances in the treatment of metastatic NSCLC have resulted from the introduction of targeted therapies. However, the application of these new agents increases treatment costs considerably. The objective of this article is to review the economic evidence of targeted therapies in metastatic NSCLC.

methodsA systematic literature review was conducted to identify cost-effectiveness (CE) as well as cost-utility studies. Medline, Embase, SciSearch, Cochrane, and 9 other databases were searched from 2000 through April 2013 (including update) for full-text publications. The quality of the studies was assessed via the validated Quality of Health Economic Studies (QHES) instrument.

resultsNineteen studies (including update) involving the MoAb bevacizumab and the Tyrosine-kinase inhibitors erlotinib and gefitinib met all inclusion criteria. The majority of studies analyzed the CE of first-line maintenance and second-line treatment with erlotinib. Five studies dealt with bevacizumab in first-line regimes. Gefitinib and pharmacogenomic profiling were each covered by only two studies. Furthermore, the available evidence was of only fair quality.

conclusionFirst-line maintenance treatment with erlotinib compared to Best Supportive Care (BSC) can be considered cost-effective. In comparison to docetaxel, erlotinib is likely to be cost-effective in subsequent treatment regimens as well. The insights for bevacizumab are miscellaneous. There are findings that gefitinib is cost-effective in first- and second-line treatment, however, based on only two studies. The role of pharmacogenomic testing needs to be evaluated. Therefore, future research should improve the available evidence and consider pharmacogenomic profiling as specified by the European Medicines Agency. Upcoming agents like crizotinib and afatinib need to be analyzed as well.

Indexed as

Cost-Benefit AnalysisAntibodies, MonoclonalAntineoplastic Combined Chemotherapy ProtocolsBevacizumabCarcinoma, Non-Small-Cell LungErlotinib HydrochlorideGefitinibHumansLung NeoplasmsMolecular Targeted TherapyProtein Kinase InhibitorsQuinazolinesAntibodies, MonoclonalBevacizumabErlotinib HydrochlorideGefitinibProtein Kinase InhibitorsQuinazolines

Identifiers

PMID25471553
PMCPMC4269853
OpenAlexW2007734670

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.