MétaCan
Menu
Back to cohort
Record W4410522286 · doi:10.1080/14796694.2025.2500915

A plain language summary of atezolizumab compared with single-agent chemotherapy in participants with non-small cell lung cancer who should not receive platinum-based chemotherapy (the IPSOS study)

2025· article· en· W4410522286 on OpenAlexaff
Siow Ming Lee, Christian Schulz, Anne‐Marie Baird, Kumar Prabhash, Dariusz M. Kowalski, Aleksandra Szczęsna, Baohui Han, Achim Rittmeyer, Toby Talbot, David Vicente, Raffaele Califano, Diego Cortinovis, Anh T. Le, Dingzhi Huang, Geoffrey Liu, Federico Cappuzzo, Jessica Reyes Contreras, Martin Reck, Ramón Palmero, Milena Perez Mak, Youyou Hu, Stefanie Morris, Monika Kaul, Patricia K. Corey‐Lisle, Barbara J. Gitlitz, Solange Peters

Bibliographic record

VenueFuture Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsPrincess Margaret Cancer Centre
FundersAstraZenecaUniversity College LondonCancer Research UKF. Hoffmann-La RocheCRUK Lung Cancer Centre of ExcellenceUniversity College London Hospitals NHS Foundation TrustPfizer
KeywordsAtezolizumabMedicineChemotherapyOncologyLung cancerInternal medicineCancerIntensive care medicineImmunotherapyPembrolizumab

Abstract

fetched live from OpenAlex

Plain Language SummaryWhat is this summary about?This plain language summary reports the results of the IPSOS clinical study. This study looked at treatment with atezolizumab (a type of immunotherapy) compared with single-agent chemotherapy (1 chemotherapy drug; either vinorelbine or gemcitabine) in participants receiving their first treatment for advanced or metastatic non-small cell lung cancer (NSCLC).People with advanced or metastatic NSCLC are often treated with platinum-based chemotherapy, which is a combination of 2 drugs. However, a doctor may decide that some people are not suitable candidates for platinum-based chemotherapy because they are too weak, or they are older and have other medical conditions. These people who should not receive platinum-based chemotherapy are often treated with 1 chemotherapy drug (single-agent chemotherapy) instead.People who are weaker, older, or have other medical problems are often not allowed to participate in clinical trials for new medicines. Therefore, these patients are not well represented in clinical trials. The IPSOS study focused on these under-represented patients.The IPSOS study compared how well atezolizumab worked compared with single-agent chemotherapy (vinorelbine or gemcitabine) in participants who should not receive platinum-based chemotherapy.Researchers collected information about the health of participants for an average of more than 3 years after starting treatment.What were the results?Compared with single-agent chemotherapy, atezolizumab improved how long participants lived after starting treatment. After 2 years, the percentage of participants still alive was twice as high in the atezolizumab group (24%) compared with the chemotherapy group (12%), despite over 50% of patients in the chemotherapy group who were still alive at 2 years receiving subsequent immunotherapy. Throughout their treatment, participants in the atezolizumab group reported no change in their health and ability to function and enjoy life, while participants in the chemotherapy group reported worsening in some of these measures. Compared with single-agent chemotherapy, atezolizumab was associated with a similar rate of serious side effects (those that were life-threatening, needed hospital care, or caused lasting problems or death) related to treatment and half the rate of severe side effects (those considered medically important by a person’s doctor; also called ‘Grade 3, 4, or 5’) related to treatment.What do the results of the study mean?Atezolizumab is now approved by the European Medicines Agency and can be used as a first treatment for people with advanced or metastatic NSCLC who aren’t able to receive platinum-based chemotherapy.This is an abstract of the Plain Language Summary of Publication article.View the full Plain Language Summary PDF of this article to read the full-text

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.351
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueFuture OncologySame topicLung Cancer Treatments and MutationsFrench-language works237,207