Evidence map›Paper›PMID 39844084›Full record

ArticleBMC cancer2025

Real-world short-term outcomes and treatment regimen comparisons in patients with metastatic renal cell carcinoma treated with first-line immune combinations.

Masato Kikuta, Sei Naito, Takahiro Osawa, Kazuyuki Numakura, Takafumi Narisawa, Yuki Takai, Mayu Yagi, Yuya Sekine, Ojiro Tokairin, Nobuo Shinohara and 2 more

Abstract readComparative Study
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

12 authors.

Masato KikutaDepartment of Urology, Yamagata University School of Medicine, Iida-Nishi 2-2-2, Yamagata, 990-9585, Japan.
Sei NaitoDepartment of Urology, Yamagata University School of Medicine, Iida-Nishi 2-2-2, Yamagata, 990-9585, Japan. seinaito@med.id.yamagata-u.ac.jp.
Takahiro OsawaDepartment of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Kazuyuki NumakuraDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Takafumi NarisawaDepartment of Urology, Yamagata University School of Medicine, Iida-Nishi 2-2-2, Yamagata, 990-9585, Japan.
Yuki TakaiDepartment of Urology, Yamagata University School of Medicine, Iida-Nishi 2-2-2, Yamagata, 990-9585, Japan.
Mayu YagiDepartment of Urology, Yamagata University School of Medicine, Iida-Nishi 2-2-2, Yamagata, 990-9585, Japan.
Yuya SekineDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Ojiro TokairinDepartment of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Nobuo ShinoharaDepartment of Renal and Genitourinary Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Tomonori HabuchiDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Norihiko TsuchiyaDepartment of Urology, Yamagata University School of Medicine, Iida-Nishi 2-2-2, Yamagata, 990-9585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune-combinations have recently become the standard first-line treatment for patients with metastatic renal cell carcinoma (mRCC). This study evaluated the applicability of the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk model in predicting outcomes for patients treated with either immune-oncologic drug doublet (IO-IO) or immune-oncologic drug tyrosine kinase inhibitor combinations (IO-TKI). A secondary objective to compare the effectiveness of IO-IO versus IO-TKI within the IMDC risk groups over a short follow-up period.

methodsA retrospective analysis was conducted on 172 patients with mRCC treated with first-line immunotherapy combinations. Progression free survival (PFS), time to treatment failure 2 (TTF2), and overall survival (OS) were compared between IMDC risk categories. Model fit was assessed using the c-index. The inverse probability of treatment weighting (IPTW) method was used to adjust and compare outcomes between IO-IO and IO-TKI, except for IMDC favorable risk patients due to the small number of IO-IO cases.

resultsThe IMDC risk model demonstrated a c-index of 0.684 (OS) for entire cohort, 0.600 (PFS), 0.596 (TTF2), and 0.624 (OS) for IO-IO, and 0.667 (PFS), 0.702 (TTF2), and 0.751 (OS) for IO-TKI. In the IMDC intermediate and poor risk groups after IPTW adjustment, PFS (HR 0.72), TTF2 (HR 0.67), and OS (HR 0.74) did not significantly differ between IO-IO and IO-TKI. Specifically, in the IMDC intermediate risk group, PFS (HR 0.79), TTF2 (HR 0.69), and OS (HR 0.65) were longer in IO-TKI, though the differences were not statistically significant. In the IMDC poor risk group, PFS (HR 0.76), TTF2 (HR 0.77), and OS (HR 1.03) were comparable.

conclusionsThe impact of IMDC risk model on survival was modest in IO-IO, while remained statistically substantial in IO-TKI. Survival outcomes did not significantly differ between IO-IO and IO-TKI during the short follow-up period.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Renal CellImmune Checkpoint InhibitorsImmunotherapyKidney NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedProtein Kinase InhibitorsRetrospective StudiesTreatment OutcomeImmune Checkpoint InhibitorsProtein Kinase InhibitorsComparisonImmune-combinationsImmunotherapyPrognosisRenal cell carcinoma; Tyrosine kinase inhibitor

Identifiers

PMID39844084
PMCPMC11752628

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.