Evidence map›Paper›PMID 42430100›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Cost-effectiveness of first-line treatments for metastatic pancreatic cancer.

Ying Dong, Yiqing Yin, Guiyue Wang, Gengwei Huo

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ying Dong *Department of Anesthesiology, Department of Cancer Neuroscience, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
Yiqing Yin *Department of Anesthesiology, Department of Cancer Neuroscience, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
Guiyue WangDepartment of Anesthesiology, Department of Cancer Neuroscience, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
Gengwei HuoDepartment of Intensive Care Unit, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin's Clinical Research Center for Cancer, North Huanhu West Road, Hexi District, Tianjin, 300060, China. huogengwei@126.com.ORCID http://orcid.org/0000-0003-3781-3323

Funding

Tianjin Key Medical Discipline Construction Project TJYXZDXK-3-003A
6 · The paper itself

Abstract

backgroundThe NAPOLI-3 trial demonstrated that NALIRIFOX significantly improves overall survival (OS) and progression-free survival (PFS) compared with nab-paclitaxel plus gemcitabine (GEM-NAB-PAC), while the PRODIGE4-ACCORD11 trial showed a survival benefit of FOLFIRINOX over gemcitabine in patients with metastatic pancreatic cancer. Notably, these trials enrolled previously untreated patients, establishing NALIRIFOX, GEM-NAB-PAC, and FOLFIRINOX as first-line treatment options. Given the high costs and toxicity associated with these regimens, an economic evaluation is needed to inform treatment selection. Therefore, this study evaluated the cost-effectiveness of first-line NALIRIFOX, GEM-NAB-PAC, and FOLFIRINOX compared with gemcitabine in patients with metastatic pancreatic adenocarcinoma from a U.S. healthcare payer perspective.

methodsA three-state partitioned survival model was developed with a lifetime horizon and a 1-week cycle length. Clinical efficacy data were derived from the NAPOLI-3 and PRODIGE4-ACCORD11 trials. Costs, health state utilities, and adverse event disutilities were obtained from published literature and public databases. Costs and outcomes were discounted at an annual rate of 3%. Total costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) were estimated. A willingness-to-pay (WTP) threshold of US$150,000 per QALY was applied. Deterministic and probabilistic sensitivity analyses were conducted to assess model robustness.

resultsModel-predicted median PFS and OS closely matched trial-reported outcomes, supporting good internal validity. In the base-case analysis, using gemcitabine as the reference comparator, FOLFIRINOX demonstrated the most favorable cost-effectiveness, with an ICER of US$6,864 per QALY gained. NALIRIFOX yielded the largest QALY gain and had an ICER of US$114,614 per QALY, whereas GEM-NAB-PAC was associated with the highest ICER (US$231,750 per QALY). At the WTP threshold of US$150,000 per QALY, FOLFIRINOX and NALIRIFOX were considered cost-effective compared with gemcitabine, while GEM-NAB-PAC was not.

conclusionsFrom a U.S. healthcare payer perspective, FOLFIRINOX represents the most cost-effective first-line treatment for metastatic pancreatic cancer, while NALIRIFOX may be considered a cost-effective alternative at commonly accepted WTP thresholds. GEM-NAB-PAC was not cost-effective under the base-case assumptions.

Indexed as

Cost-effectiveness analysisFOLFIRINOXGemcitabineGEM-NAB-PACNALIRIFOXPancreatic cancer

Identifiers

PMID42430100

What OpenQuestion holds

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Registered trials

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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.