Evidence map›Paper›PMID 40821840›Full record

ReviewFrontiers in immunology2025

Development and landscape of maintenance therapy after first-line treatment of advanced or metastatic urothelial carcinoma.

Zengguang Liu, Xiaofeng Cong, Chen Chen, Jiaxin Yin, Ziling Liu

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. 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

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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

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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

5 authors.

Zengguang LiuDepartment of Cancer Center, The First Hospital of Jilin University, Changchun, China.
Xiaofeng CongDepartment of Cancer Center, The First Hospital of Jilin University, Changchun, China.
Chen ChenDepartment of Cancer Center, The First Hospital of Jilin University, Changchun, China.
Jiaxin YinDepartment of Cancer Center, The First Hospital of Jilin University, Changchun, China.
Ziling LiuDepartment of Cancer Center, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overall survival (OS) in patients with advanced or metastatic urothelial carcinoma (UC) is not optimistic. For a long time, the standard platinum-based chemotherapy has been one of the preferred treatment strategies. Despite the high initial objective response rate (ORR) to first-line chemotherapy in patients with metastatic UC, the rate of achieving complete response (CR) is low, and most patients will relapse within one year after first-line treatment. To further improve the OS of patients with metastatic UC, the success of the CheckMate901 and EV302 studies has brought new therapeutic options for the first-line treatment of these patients. Maintenance or consolidation therapy after first-line treatment is also important to improve the OS of patients with advanced UC. Maintenance therapy after first-line treatment of metastatic UC has undergone a long period of development until the success of the JAVELIN Bladder100 study. For the first time, this study established the application of avelumab as maintenance therapy after first-line platinum-containing chemotherapy. The aim of this paper is to review the development process of avelumab-based maintenance therapy after first-line treatment of advanced or metastatic UC and explore future options for maintenance therapy in patients with advanced or metastatic UC in the light of new first-line treatment options.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, Transitional CellMaintenance ChemotherapyUrinary Bladder NeoplasmsUrologic NeoplasmsHumansNeoplasm MetastasisTreatment OutcomeAntibodies, Monoclonal, Humanizedavelumabadvancedavelumabmaintenance therapymetastaticurothelial carcinoma (UC)

Identifiers

PMID40821840
PMCPMC12350496

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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.