Evidence map›Paper›PMID 36200791›Full record

ArticleThe oncologist2023

Comparative Effectiveness of Front-Line Ipilimumab and Nivolumab or Axitinib and Pembrolizumab in Metastatic Clear Cell Renal Cell Carcinoma.

Kevin K Zarrabi, Elizabeth Handorf, Benjamin Miron, Matthew R Zibelman, Fern Anari, Pooja Ghatalia, Elizabeth R Plimack, Daniel M Geynisman

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 5% of its field
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, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Kevin K ZarrabiDepartment of Medical Oncology, Sidney Kimmel Cancer Center-Thomas Jefferson University, Philadelphia, PA, USA.ORCID 0000-0002-9351-2317
Elizabeth HandorfBiostatistics and Bioinformatics Facility, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA, USA.ORCID 0000-0003-0445-8978
Benjamin MironDepartment of Hematology/Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA, USA.
Matthew R ZibelmanDepartment of Hematology/Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA, USA.
Fern AnariDepartment of Hematology/Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA, USA.
Pooja GhataliaDepartment of Hematology/Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA, USA.
Elizabeth R PlimackDepartment of Hematology/Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA, USA.
Daniel M GeynismanDepartment of Hematology/Oncology, Fox Chase Cancer Center-Temple University Health System, Philadelphia, PA, USA.
Fox Chase Cancer Center · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment of metastatic renal cell carcinoma (mRCC) is rapidly evolving with new combination therapies demonstrating improved response rates and survival. There are no head-to-head prospective trials comparing an immunotherapy doublet with an immunotherapy/tyrosine-kinase inhibitor-based combination. We compare real-world outcomes in patients treated with axitinib/pembrolizumab (axi/pembro) or ipilimumab/nivolumab (ipi/nivo). The primary endpoints were overall-survival (OS) and real-world progression-free survival (rwPFS). PATIENTS AND

methodsWe used a de-identified database to select patients diagnosed with clear cell mRCC and treated with front-line axi/pembro or ipi/nivo from 2018 to 2022. Analyses are adjusted using propensity score-based inverse probability of treatment weighting, balancing age, gender, insurance, race, IMDC risk, and nephrectomy status. We compared survival by treatment groups using weighted and unweighted Kaplan-Meier curves with log-rank tests and weighted Cox proportional hazards regressions.

resultsWe included a total of 1506 patients with mRCC who received frontline axi/pembro (n = 547) or ipi/nivo (n = 959). Median follow-up time was 20.0 months (range: 0.2-47.6). Baseline demographics were similar between the 2 cohorts. Adjusted median OS for the full population was 28.9 months for axi/pembro and was 24.3 months for ipi/nivo (P = .09). Twenty-four-month survival was 53.8% for axi/pembro treated patients and 50.2% for ipi/nivo treated patients. rwPFS was 10.6 months for axi/pembro treated patients and 6.9 months for ipi/nivo treated patients. Treatment with axi/pembro conferred improved survival in the IMDC favorable risk strata, with no significant difference in survival observed within the full cohort.

conclusionsIn this retrospective, real-world study of patients treated with front-line combination therapy, patients with IMDC favorable risk disease had better survival when treated with axi/pembro compared to ipi/nivo. However, survival for the entire population and the 24-month median overall survival were not statistically different between treatment groups. Longer follow-up is necessary to discern any emerging significant differences.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsAxitinibHumansIpilimumabNivolumabProspective StudiesRetrospective StudiesAntibodies, Monoclonal, HumanizedAxitinibIpilimumabNivolumabpembrolizumabimmunotherapymetastatic renal cell carcinomareal-world outcomestargeted therapy

Identifiers

PMID36200791
PMCPMC9907035
OpenAlexW4302305168

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.