ArticleOncoimmunology
Alternative metrics for assessing clinical benefit with immunotherapy in oncology.
Article in Oncoimmunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Combinations of treatments based on radiotherapy or radionuclides to enhance immunotherapy efficacy in advanced prostate cancer: a systematic review.Journal of cancer research and clinical oncology · 2025Pooled it
- Existing challenges in the management of cholangiocarcinoma in Spain.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Frequently asked questions on surrogate endpoints in oncology-opportunities, pitfalls, and the way forward.EClinicalMedicine · 2024Review
- Metastatic Kidney Cancer: Does the Location of the Metastases Matter? Moving towards Personalized Therapy for Metastatic Renal Cell Carcinoma.Biomedicines · 2024Review
- Current challenges for assessing the long-term clinical benefit of cancer immunotherapy: a multi-stakeholder perspective.Journal for immunotherapy of cancer · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Therapies for cancer have traditionally been assessed with metrics such as the response rate, hazard ratio, or median survival. Such metrics have value in measuring the outcomes of conventional therapies, but may not be the most appropriate for new therapies. Immuno-oncology therapies offer a new approach to treating cancer by stimulating patients' immune systems to fight cancer. The value of these novel therapies has so far been assessed with traditional metrics, but the different ways in which immuno-oncology therapies work can mean the full value is not captured. Immuno-oncology therapies can produce longer survival times but this effect can be delayed or even preceded by an apparent phase of progression, which median survival or response rates may not reflect. This paper discusses a range of traditional and alternative metrics and their benefits or disadvantages in measuring the effects of immuno-oncology therapies, using examples of several novel drugs as case studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.