Evidence map›Paper›PMID 41394875›Full record

SynthesisFrontiers in immunology2025

Presurgical molecular therapy for renal cell carcinoma with venous tumor thrombus: a systematic review and meta-analysis.

Kewei Chen, Lin Zhuo, Zhuo Liu, Liyuan Ge, Le Yu, Shudong Zhang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in immunology, 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

6 authors.

Kewei Chen *Department of Urology, Peking University Third Hospital, Beijing, China.
Lin Zhuo *Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education.
Zhuo Liu *Department of Urology, Peking University Third Hospital, Beijing, China.
Liyuan GeDepartment of Urology, Peking University Third Hospital, Beijing, China.
Le YuDepartment of Urology, Peking University Third Hospital, Beijing, China.
Shudong ZhangDepartment of Urology, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Presurgical molecular therapy (PMT) including tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) showed various outcomes for renal cell carcinoma (RCC) with tumor thrombus (TT). We aimed to evaluate the impact of PMT on Mayo level or TT height and the treatment-related adverse events (AEs). Methods: A systematic literature search was conducted in PubMed, Embase, Cochrane Library, and Web of Science up to June 2023 to identify relevant studies investigating the impact of PMT on RCC patients with TT. The literature investigating the impact of PMT on RCC patients with venous TT, whether followed by surgery or not, was included. Results: Overall, 184 patients were enrolled in this study. 30.7% (95% CI, 17.6-43.8%, I Conclusion: PMT is available to assist in lowering the TT level in RCC patients aiming to simply the surgical procedures, particularly in patients with Mayo grade 3/4. The frequency and severity of AEs during PMT are tolerable. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD420234399128.

Indexed as

Carcinoma, Renal CellImmune Checkpoint InhibitorsKidney NeoplasmsProtein Kinase InhibitorsVenous ThrombosisHumansMolecular Targeted TherapyImmune Checkpoint InhibitorsProtein Kinase Inhibitorspresurgical molecular therapyradical nephrectomy and thrombectomyrenal cell carcinomatumor thrombustyrosine kinase inhibitors

Identifiers

PMID41394875
PMCPMC12698656

What OpenQuestion holds

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Registered trials

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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.