ReviewCancer management and research2020
A Systematic Review of Health Economic Evaluation on Targeted Therapies for First-Line Treatment of Metastatic Non-Small Cell Lung Cancer (NSCLC): Quality Evaluation.
Review in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 4 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Cost-effectiveness models of non-small cell lung cancer: A systematic literature review.Journal of managed care & specialty pharmacy · 2025Pooled it
- A systematic review on reporting quality of economic evaluations for negotiated glucose-lowering drugs in China national reimbursement drug list.BMC health services research · 2024Pooled it
- Pooled it
- Modelling Methods of Economic Evaluations of HIV Testing Strategies in Sub-Saharan Africa: A Systematic Review.Applied health economics and health policy · 2023Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvolving practices in non-small cell lung cancer (NSCLC) therapy inevitably affect health care budgets, especially through the introduction of targeted therapies. This results in a rise of health economic evaluations (HEEs) in this domain. This article reviews the quality of the economic evidence of targeted therapies used in metastatic NSCLC.
methodsA literature search was conducted using PubMed, Cochrane, Embase and CRD (University of York Centre for Reviews and Dissemination) databases to identify topical original articles published between 1/1/2000 and 3/31/2019. A quality of reporting assessment using the CHEERS (Consolidated Health Economic Evaluation Reporting Standards statement) checklist was converted into a quantitative score and compared with the results of a QHES (Quality of Health Economic Studies) evaluation. Components of QHES were also used to analyze the validity of primary outcomes, consideration of heterogeneity and rationality of main assumptions of models in modeling studies.
resultsIn total, 25 HEEs were obtained and analyzed. From the CHEERS assessment, it was found that method description integrity (including setting, perspective, time horizon and discount rate), justification of data sources and a heterogeneity description were often absent or incomplete. Only five examined studies met the accepted standard of good quality. Modeled articles were examined with the QHES instrument, and a lack of illustrated structure, population variability, formula of the transitioning probability and justification for the choice of the model were the most frequently observed problems in the selected studies. After quantification, the CHEERS scores and QHES scores did not differ significantly.
conclusionCurrent NSCLC models generally lack consideration for demographic heterogeneity and transparency of data description, and it would be difficult to transfer or generalize from the scientific literature to real-world evidence-based decision-making. Frameworks of future models should be informed and justified based on the validity of model results and the improvement of modeling accuracy.
Indexed as
Identifiers
What OpenQuestion holds
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.