Evidence map›Paper›PMID 42892667›Full record

SynthesisTargeted oncology2026

Adjuvant Systemic Therapies After Nephrectomy for Renal Cell Carcinoma: A Bayesian Network Meta-Analysis and Multi-Criteria Benefit-Risk Assessment.

Shugo Yajima, Gaku Okumura, Soichiro Yoshida, Hiroshi Fukushima, Hiroyuki Sato, Akihiro Hirakawa, Toshiki Kijima, Hitoshi Masuda, Yasuhisa Fujii

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Targeted oncology, 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

9 authors.

Shugo YajimaDepartment of Urology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.ORCID http://orcid.org/0000-0003-2300-8446
Gaku OkumuraDepartment of Urology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Soichiro YoshidaDepartment of Urology, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan. s-yoshida.uro@tmd.ac.jp.
Hiroshi FukushimaDepartment of Urology, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Hiroyuki SatoDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Akihiro HirakawaDepartment of Clinical Biostatistics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Toshiki KijimaDepartment of Urology, Dokkyo Medical University, Mibu, Tochigi, Japan.
Hitoshi MasudaDepartment of Urology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Yasuhisa FujiiDepartment of Urology, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdjuvant pembrolizumab has improved disease-free survival after nephrectomy for high-risk renal cell carcinoma, and pembrolizumab plus belzutifan has further expanded the treatment landscape.

objectiveWe compared efficacy and treatment burden across adjuvant systemic therapies and examined the benefit-risk trade-off of the combination.

methodsRandomized trials of systemic therapy after nephrectomy were synthesized using a Bayesian network meta-analysis. Disease-free survival hazard ratios were converted to illustrative 2-year estimates using a common pembrolizumab baseline. Observed differences in 2-year disease-free survival, grade 3 or higher adverse events, and treatment discontinuation came from LITESPARK-022. Using these data, a multi-criteria decision analysis examined how outcome weighting affected the balance between the two regimens.

resultsSix randomized datasets formed a tree-shaped network of eight regimens. In LITESPARK-022, adding belzutifan yielded approximately seven additional disease-free patients per 100 treated, but also approximately 22 additional patients with grade 3 or higher adverse events and 15 additional treatment discontinuations. Under the primary decision-analytic assumptions, the combination had the higher net-benefit score only when disease-free survival received roughly two thirds of the decision weight (threshold 0.68; range 0.47-0.79 across sensitivity analyses). Most comparisons relied on a single dataset, and overall survival and patient-reported outcomes remained immature.

conclusionsAdding belzutifan to pembrolizumab improved disease-free survival but increased toxicity and treatment discontinuation. The decision analysis illustrates a model-dependent trade-off rather than identifying a preferred regimen. Because overall survival data are immature, the decision to intensify treatment remains risk and preference sensitive. PROSPERO REGISTRATION: CRD420261454205.

Identifiers

What OpenQuestion holds

Textmetadata
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.