Evidence map›Paper›PMID 31439476›Full record

ArticleEBioMedicine2019

Role of immune checkpoint inhibitor-based therapies for metastatic renal cell carcinoma in the first-line setting: A Bayesian network analysis.

Junpeng Wang, Xin Li, Xiaoqiang Wu, Zhiwei Wang, Chan Zhang, Guanghui Cao, Xiaofan Zhang, Feng Peng, Tianzhong Yan

Abstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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4 · The record

Corrections and comments

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 450003, China.
Xin LiDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Xiaoqiang WuDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, China.
Zhiwei WangDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, China.
Chan ZhangDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, China.
Guanghui CaoDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, China.
Xiaofan ZhangDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Feng PengDepartment of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Tianzhong YanDepartment of Urology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital, Zhengzhou 450003, China. Electronic address: ytz460@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral novel immune checkpoint inhibitor (ICI)-based treatments exhibited promising survival benefits for metastatic renal cell carcinoma (mRCC), yet there is no current guidance regarding the optimum first-line regimen. We performed this network analysis to compare the efficacy and safety of all available treatments for mRCC.

methodsA systematic search of literature was conducted up to April 30, 2019, and the analysis was done on a Bayesian fixed-effect model.

findingsTwenty-five randomized clinical trials (RCTs) involving 13,010 patients were included in this study. The results showed that for overall survival, pembrolizumab plus axitinib (hazard ratio [HR]: 0.53; 95% credible interval [CrI]: 0.38-0.73) and nivolumab plus ipilimumab (HR: 0.63; 95% CrI: 0.50-0.79) were significantly more effective than sunitinib, and pembrolizumab plus axitinib was probably (68%) to be the best choice. For progression-free survival, cabozantinib (HR: 0.66; 95% CrI: 0.46-0.94), pembrolizumab plus axitinib (HR: 0.69; 95% CrI: 0.57-0.84), avelumab plus axitinib (HR: 0.69; 95% CrI: 0.56-0.85), nivolumab plus ipilimumab (HR: 0.82; 95% CrI: 0.68-0.99), and atezolizumab plus bevacizumab (HR: 0.86; 95% CrI: 0.74-0.99) were statistically superior to sunitinib, and cabozantinib was likely (43%) to be the preferred options. Nivolumab plus ipilimumab (OR: 0.50; 95% CrI: 0.28-0.84), and atezolizumab plus bevacizumab (OR: 0.56; 95% CrI: 0.36-0.83) were associated with significantly lower rate of high-grade adverse events than sunitinib.

interpretationOur findings demonstrate that pembrolizumab plus axitinib might be the best treatment for mRCC, while nivolumab plus ipilimumab has the most favorable balance between efficacy and acceptability, and may provide new guidance to make treatment decisions. FUND: This research was supported by the Henan Provincial Scientific and Technological Research Project (Grant No. 192102310036).

Indexed as

Biomarkers, TumorAnimalsAntineoplastic Agents, ImmunologicalBayes TheoremCarcinoma, Renal CellCell Line, TumorDisease Models, AnimalDisease ProgressionFemaleHumansImmunomodulationKidney NeoplasmsMaleMiceProportional Hazards ModelsXenograft Model Antitumor AssaysAntineoplastic Agents, ImmunologicalBiomarkers, TumorEfficacyFirst-line systemic therapiesImmune checkpoint inhibitorRenal cell carcinomaSafety

Identifiers

PMID31439476
PMCPMC6796578

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.