Evidence map›Paper›PMID 40631349›Full record

ArticleTherapeutic advances in medical oncology2025

Unveiling the best immune checkpoint inhibitor-based therapy for metastatic renal cell carcinoma in the first-line setting: an updated systematic review and Bayesian network analysis.

Junpeng Wang, Xin Li, Mengjun Li, Qingyuan Liu, Zixuan Xie, Xiaotian Si, Lei Yang, Zhifeng Wang, Degang Ding

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. 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

9 authors.

Junpeng WangDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China.
Xin LiDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Mengjun LiDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Qingyuan LiuDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China.
Zixuan XieDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Xiaotian SiDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Lei YangDepartment of Pathology, Yale University, New Haven, CT, USA.
Zhifeng WangDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7 Weiwu Road, Zhengzhou 450003, China.
Degang DingDepartment of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7 Weiwu Road, Zhengzhou 450003, China.ORCID https://orcid.org/0000-0001-8383-2440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitor (ICI)-based combination therapies have been recommended as first-line options for metastatic renal cell carcinoma (mRCC); however, no head-to-head randomized controlled trials (RCTs) have compared all existing ICI-based therapies. Objective: We aimed to analyze the updated data to compare the efficacy of all available ICI-based options for mRCC. Design: A systematic review and Bayesian network analysis. Data sources and methods: A systematic literature search was undertaken up to September 15, 2024, and subsequent analysis was performed using a Bayesian fixed-effect model. Results: This study included 30 RCTs involving 14,959 patients. The results revealed that nivolumab plus cabozantinib (hazard ratio (HR): 0.77; 95% credible interval (CrI): 0.63-0.93), pembrolizumab plus lenvatinib (HR: 0.79; 95% CrI: 0.64-0.99), toripalimab plus axitinib (HR: 0.62; 95% CrI: 0.42-0.97), nivolumab plus ipilimumab (HR: 0.72; 95% CrI: 0.62-0.84), pembrolizumab plus axitinib (HR: 0.84; 95% CrI: 0.71-0.98), and avelumab plus axitinib (HR: 0.79; 95% CrI: 0.64-0.98) were significantly more effective than sunitinib for overall survival (OS). Most ICI-based combination treatments resulted in fewer or similar high-grade adverse events compared to sunitinib, except for pembrolizumab plus lenvatinib. For favorable-risk patients, ICI-based combination therapies were not more effective than sunitinib in OS, while six ICI-based combination therapies were associated with significantly improved OS compared to sunitinib for intermediate-risk or poor-risk patients. Conclusion: Our findings demonstrated that combination therapies including nivolumab plus cabozantinib, pembrolizumab plus lenvatinib, toripalimab plus axitinib, nivolumab plus ipilimumab, pembrolizumab plus axitinib, and avelumab plus axitinib significantly improved OS versus sunitinib. For subgroup analysis, ICI-based combination therapies exhibited significant advantages over sunitinib for intermediate-risk or poor-risk patients, while such advantages were diminished in treating favorable-risk patients.

Indexed as

first-line treatmentimmune checkpoint inhibitorsmetastasisnetwork meta-analysisrenal cell carcinoma

Identifiers

PMID40631349
PMCPMC12235238

What OpenQuestion holds

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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.