Evidence map›Paper›PMID 42428070›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Combining VEGFR tyrosine kinase inhibitors and PD-1/PD-L1 inhibitors versus VEGFR tyrosine kinase inhibitors monotherapy in renal cell carcinoma: a target trial emulation.

Daling Shi, Xiaochun Li, Yao Chen, Yijiang Chen, Qianqian Song, Jing Su

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

6 authors.

Daling ShiDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, FL, USA.ORCID 0009-0009-2006-9850
Xiaochun LiDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, IN, USA.
Yao ChenDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, IN, USA.
Yijiang ChenDepartment of Radiation Oncology, School of medicine, Stanford university, CA, USA.
Qianqian SongDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, FL, USA.ORCID 0000-0002-4455-5302
Jing SuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, IN, USA.ORCID 0000-0003-4917-6173

Funding

Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI David W Clapp · 1999 to 2026
$59.3M
All of Us Consortium of CTSA Community Engagement ProgramsOT2OD031919 · OD · UNIVERSITY OF FLORIDA · PI COTTLER, LINDA B., EDER, MILTON · 2022 to 2025
$5.0M
Revealing Health Trajectories of Chronic Kidney Disease for Precision MedicineR01LM013771 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI SU, JING, ZHANG, PENGYUE · 2022 to 2025
$1.7M
Multi-modal insights of spatially distributed cells with associations of diseases and drug responseR35GM151089 · NIGMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Qianqian Song · 2023 to 2026
$1.2M
NCI NIH HHS P30 CA082709NIGMS NIH HHS R35 GM151089NIH HHS OT2 OD031919NLM NIH HHS R01 LM013771
6 · The paper itself

Abstract

Importance: Combinations of VEGFR tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs), such as antibodies to programmed cell death-1 (PD-1), or to its ligand PD-L1, are now first-line standard of care for renal cell carcinoma (RCC), but the pivotal clinical trials excluded patients with common comorbidities, leaving their real-world effectiveness uncertain. Objective: To determine whether adding PD-1/PD-L1 inhibitors to VEGFR-TKIs therapy is associated with improved overall survival in a real-world RCC cohort. Design Setting and Participants: This retrospective cohort study used a target trial emulation framework and real-world electronic health records data from the University of Florida Health Integrated Data Repository (IDR). Data was analyzed from September 2009 through June 2023. Adult patients (≥18 years) with confirmed RCC and at least one VEGFR-TKIs prescription were eligible. The date of the first VEGFR-TKIs prescription was defined as the index date, and patients were followed for up to 24 months. Variable-ratio propensity score matching (up to 2:1) across 13 baseline covariates was used to emulate randomized treatment assignments. Of 107,783 patients screened, 387 met eligibility criteria, and 319 remained in the matched cohort. Exposures: VEGFR-TKIs monotherapy (control group) versus VEGFR-TKIs combined with PD-1/PD-L1 inhibitors (experimental group). Main Outcomes and Measures: Overall survival (OS), analyzed by weighted Kaplan-Meier estimation, cluster-robust Cox regression, and restricted mean survival time (RMST) at τ = 24 months, prespecified given anticipated non-proportional hazards. Results: Among 319 matched patients (mean [SD] age, 62 [12] years; 76% male), 107 deaths occurred (33.5%). Twelve-month OS was higher in the combination arm (81.8%; 95% CI, 74.7-89.6%) than VEGFR-TKIs monotherapy (68.1%; 95% CI, 61.1-76.0%), converging by 24 months (61.1% vs 56.7%). The Cox hazard ratio was 0.718 (95% CI, 0.484-1.064; Conclusions: Adding PD-1/PD-L1 inhibitors to VEGFR-TKIs therapy was associated with a statistically significant and clinically meaningful gain in restricted mean survival, supporting the real-world generalizability of combination therapy and the importance of appropriate treatment effect measures under non-proportional hazards.

Identifiers

PMID42428070
PMCPMC13345448

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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.