Evidence map›Paper›PMID 40487854›Full record

ArticleGynecologic oncology reports2025

Cost-effectiveness of chemotherapy in advanced and recurrent endometrial cancer.

Katsuaki Inami

Abstract read
In one paragraph

Article in Gynecologic oncology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

1 author.

Katsuaki InamiDepartment of Obstetrics and Gynecology, Fujinomiya City General Hospital, 3-1 Nishiki-cho, Fujinomiya, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To review the cost-effectiveness of chemotherapy and immunotherapy-based regimens for advanced and recurrent endometrial cancer, focusing on incremental cost-effectiveness ratios (ICERs). Methods: We conducted a literature review of peer-reviewed studies (2021-2025) evaluating immune checkpoint inhibitors (ICIs) combined with chemotherapy or targeted agents versus standard chemotherapy in advanced/recurrent endometrial cancer. Key outcomes (cost per QALY or life-year gained, willingness-to-pay [WTP] thresholds) and conclusions were extracted from nine studies. Results: Adding ICIs to first-line chemotherapy improved survival, especially in mismatch repair-deficient (dMMR) tumors. In dMMR disease, pembrolizumab or dostarlimab plus chemotherapy yielded ICERs of $41,000-$60,000/QALY, considered cost-effective at a $150,000/QALY threshold, but not at $100,000/QALY without price reductions. In mismatch repair-proficient (pMMR) patients, first-line ICI combinations showed smaller QALY gains and higher ICERs ($90,000-$176,000/QALY), often exceeding accepted thresholds. The durvalumab + olaparib combination was not cost-effective in any subgroup (ICERs >$200,000/QALY). In recurrent pMMR disease, pembrolizumab + lenvatinib was not cost-effective in U.S. or Chinese settings unless drug costs declined by 8-50 %. In recurrent dMMR cancer, dostarlimab improved outcomes but had an ICER of $332,000/QALY, making it economically unjustified at current prices. Conclusions: ICIs offer clinical benefit in advanced endometrial cancer, particularly in dMMR tumors. First-line ICI + chemotherapy appears cost-effective for dMMR at U.S. WTP levels. However, use in pMMR or second-line settings may require drug price reductions or biomarker-based selection to be economically viable.

Indexed as

Advanced cancerChemotherapyCost-effectivenessEndometrial cancerHealth economicsImmunotherapyIncremental cost-effectiveness ratioRecurrent cancer

Identifiers

PMID40487854
PMCPMC12143171

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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.