Evidence map›Paper›PMID 34381708›Full record

ArticleFrontiers in oncology2021

Correlation Between Early Endpoints and Overall Survival in Non-Small-Cell Lung Cancer: A Trial-Level Meta-Analysis.

Khader Shameer, Youyi Zhang, Dan Jackson, Kirsty Rhodes, Imran Khan A Neelufer, Sreenath Nampally, Andrzej Prokop, Emmette Hutchison, Jiabu Ye, Vladislav A Malkov and 7 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Assessment of NSCLC disease burden: A survival model-based meta-analysis study.Computational and structural biotechnology journal · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

17 authors.

Khader ShameerData Science and Artificial Intelligence, BioPharmaceuticals Research and Development (R&D), AstraZeneca, Gaithersburg, MD, United States.
Youyi ZhangData Science and Artificial Intelligence, BioPharmaceuticals Research and Development (R&D), AstraZeneca, Gaithersburg, MD, United States.
Dan JacksonOncology Biometrics, Oncology Research and Development, AstraZeneca, Cambridge, United Kingdom.
Kirsty RhodesOncology Biometrics, Oncology Research and Development, AstraZeneca, Cambridge, United Kingdom.
Imran Khan A NeeluferData Science and Artificial Intelligence, BioPharmaceuticals Research and Development, AstraZeneca, Macclesfield, United Kingdom.
Sreenath NampallyData Science and Artificial Intelligence, BioPharmaceuticals Research and Development (R&D), AstraZeneca, Gaithersburg, MD, United States.
Andrzej ProkopOncology Biometrics, Oncology Research and Development, AstraZeneca, Warsaw, Poland.
Emmette HutchisonDigital Health, Oncology Research and Development, AstraZeneca, Cambridge, United Kingdom.
Jiabu YeOncology Biometrics, Oncology R&D, AstraZeneca, Gaithersburg, MD, United States.
Vladislav A MalkovData Science and Artificial Intelligence, BioPharmaceuticals Research and Development (R&D), AstraZeneca, Gaithersburg, MD, United States.
Feng LiuOncology Biometrics, Oncology R&D, AstraZeneca, Gaithersburg, MD, United States.
Antony SabinOncology Biometrics, Oncology Research and Development, AstraZeneca, Cambridge, United Kingdom.
Jim WeatherallData Science and Artificial Intelligence, BioPharmaceuticals Research and Development, AstraZeneca, Macclesfield, United Kingdom.
Cristina DuranDigital Health, Oncology Research and Development, AstraZeneca, Cambridge, United Kingdom.
Renee Bailey IaconaOncology Biometrics, Oncology R&D, AstraZeneca, Gaithersburg, MD, United States.
Faisal M KhanData Science and Artificial Intelligence, BioPharmaceuticals Research and Development (R&D), AstraZeneca, Gaithersburg, MD, United States.
Pralay MukhopadhyayOncology Biometrics, Oncology R&D, AstraZeneca, Gaithersburg, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early endpoints, such as progression-free survival (PFS), are increasingly used as surrogates for overall survival (OS) to accelerate approval of novel oncology agents. Compiling trial-level data from randomized controlled trials (RCTs) could help to develop a predictive framework to ascertain correlation trends between treatment effects for early and late endpoints. Through trial-level correlation and random-effects meta-regression analysis, we assessed the relationship between hazard ratio (HR) OS and (1) HR PFS and (2) odds ratio (OR) PFS at 4 and 6 months, stratified according to the mechanism of action of the investigational product. Using multiple source databases, we compiled a data set including 81 phase II-IV RCTs (35 drugs and 156 observations) of patients with non-small-cell lung cancer. Low-to-moderate correlations were generally observed between treatment effects for early endpoints (based on PFS) and HR OS across trials of agents with different mechanisms of action. Moderate correlations were seen between treatment effects for HR PFS and HR OS across all trials, and in the programmed cell death-1/programmed cell death ligand-1 and epidermal growth factor receptor trial subsets. Although these results constitute an important step, caution is advised, as there are some limitations to our evaluation, and an additional patient-level analysis would be needed to establish true surrogacy.

Indexed as

correlation analysismeta-regression analysisprogression-free survivalsurrogate endpointstrial-level analysis

Identifiers

PMID34381708
PMCPMC8351517

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.