Evidence map›Paper›PMID 41809880›Full record

ArticleWorld journal of gastroenterology2026

Cost-effectiveness of different strategies with biologics for the treatment of moderate to severe Crohn's disease in China.

Yao Wu, Li-Bo Tao, Chang Liu, Fang-Xu Wang, Yi Yan, Shuang Sun

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Article in World journal of gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yao WuCenter for Health Policy and Technology Evaluation, Peking University Health Science Center, Beijing 100191, China.
Li-Bo TaoCenter for Health Policy and Technology Evaluation, Peking University Health Science Center, Beijing 100191, China.
Chang LiuCenter for Health Policy and Technology Evaluation, Peking University Health Science Center, Beijing 100191, China.
Fang-Xu WangCenter for Health Policy and Technology Evaluation, Peking University Health Science Center, Beijing 100191, China.
Yi YanCenter for Health Policy and Technology Evaluation, Peking University Health Science Center, Beijing 100191, China.
Shuang SunCenter for Health Policy and Technology Evaluation, Peking University Health Science Center, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiologics are the preferred treatment for patients with moderate to severe Crohn's disease (CD). Four biologics included in China's National Reimbursement Drug List are available for CD treatment. Due to loss of response, patients need switching to another biologic, making it necessary to evaluate the cost-effectiveness of different biologic treatment sequences.

aimTo assess the cost-effectiveness of sequential treatment strategies with National Reimbursement Drug List-included biologics for moderate to severe CD in China.

methodsFrom a healthcare system perspective, a Markov model was constructed to evaluate the cost-effectiveness of four biologics [infliximab, adalimumab (ADA), ustekinumab (UST), and vedolizumab] applied in different treatment sequences for moderate to severe CD patients. Using one times the GDP per capita ($13444.68, 2024) in China as the willingness-to-pay threshold, the absolute net monetary benefit (NMB) and incremental cost-effectiveness ratio (ICER) were calculated. Both costs and utilities were discounted at an annual rate of 5%. Sensitivity analyses were conducted on key parameters.

resultsWith $13444.68 as willingness-to-pay, among the 17 treatment sequences evaluated for biologic-naïve patients, sequence 3 (ADA-UST) yielded the highest absolute NMB of $35850.93. Compared with sequence 1 (vedolizumab-UST), sequence 3 had the most favorable ICER of $2285.38/quality-adjusted life year. For biologic-exposed patients, sequence 3 still demonstrated the optimal NMB and ICER results.

conclusionAdding biologic treatment lines provides greater health benefits for patients with moderate to severe CD. Among the various sequential strategies, the treatment sequence combining ADA and UST is more likely to be the optimal cost-effective option in China.

Indexed as

Biological ProductsCrohn DiseaseGastrointestinal AgentsAdalimumabAntibodies, Monoclonal, HumanizedChinaCost-Benefit AnalysisCost-Effectiveness AnalysisDrug CostsDrug SubstitutionHumansInfliximabMarkov ChainsQuality-Adjusted Life YearsSeverity of Illness IndexTreatment OutcomeAdalimumabAntibodies, Monoclonal, HumanizedBiological ProductsGastrointestinal AgentsInfliximabUstekinumabvedolizumabBiologicsChinaCost-effectivenessCrohn’s diseaseOutcomesTreatment sequence

Identifiers

PMID41809880
PMCPMC12968556

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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.