Evidence map›Paper›PMID 36388345›Full record

ArticleFrontiers in public health2022

Cost-effectiveness analysis of drug-eluting beads and conventional transarterial chemoembolization in the treatment of hepatocellular carcinoma.

Guoliang Shao, Jingwen Wang, Xiaoying Zhou, Guojun Sun, Zuojun Dong

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

5 authors.

Guoliang ShaoInterventional Therapy, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.
Jingwen WangCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Xiaoying ZhouCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Guojun SunCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Zuojun DongCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To conduct a cost-effectiveness analysis of drug-eluting beads transcatheter arterial chemoembolization (DEB-TACE) and conventional transcatheter arterial chemoembolization (cTACE) for first-line treatment of hepatocellular carcinoma (HCC) from the perspective of the Chinese healthcare system. Methods: Based on the real-world clinical data of HCC patients receiving interventional therapy, a partitioned survival model was constructed for cost-effectiveness analysis. The model period is 1 month, and the research time limit is 10 years. The incremental cost-effectiveness ratio (ICER) is used as the evaluation index. One-way sensitivity analysis and probabilistic sensitivity analysis were used to analyze the uncertainty of parameters to test the stability of the model results. Results: The ICER of the DEB-TACE group was 11,875.62 $/QALYs, which was lower than the willingness to pay threshold (WTP) of 31,499.23 $/QALYs. One-way sensitivity analysis suggested that the utility value of progression-free survival (PFS) in the DEB-TACE group had the greatest impact. Probabilistic sensitivity analysis showed that at the level of WTP of 31,499.23 $/QALYs, DEB-TACE had a cost-effective probability of 92%. Conclusion: Under the current economic level in my country, DEB-TACE is more cost-effective than cTACE in the treatment of HCC patients.

Indexed as

Carcinoma, HepatocellularChemoembolization, TherapeuticLiver NeoplasmsCost-Benefit AnalysisHumansMicrospheresTreatment Outcomecost-effectiveness analysiscTACEDEB-TACEhepatocellular carcinomapartition survival model

Identifiers

PMID36388345
PMCPMC9643739

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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.