Evidence map›Paper›PMID 38685923›Full record

ArticleEClinicalMedicine2024

Intermediate clinical endpoints in early-stage breast cancer: an analysis of individual patient data from the Gruppo Italiano Mammella and Mammella Intergruppo trials.

Eva Blondeaux, Wanling Xie, Luca Carmisciano, Silvia Mura, Valeria Sanna, Michelino De Laurentiis, Roberta Caputo, Anna Turletti, Antonio Durando, Sabino De Placido and 15 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

25 authors.

Eva BlondeauxU.O. Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Wanling XieDivision of Biostatistics, Dana-Farber Cancer Institute, Boston, USA.
Luca CarmiscianoDipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Pisa, Italy.
Silvia MuraDepartment of Medical Oncology, UOC Oncologia Medica, University Hospital of Sassari, Sassari, Italy.
Valeria SannaDepartment of Medical Oncology, UOC Oncologia Medica, University Hospital of Sassari, Sassari, Italy.
Michelino De LaurentiisIstituto Nazionale per lo Studio e la Cura dei Tumouri, Fondazione Pascale IRCCS, Napoli, Italy.
Roberta CaputoIstituto Nazionale per lo Studio e la Cura dei Tumouri, Fondazione Pascale IRCCS, Napoli, Italy.
Anna TurlettiMedical Oncology, Ospedale Martini ASL Città di Torino, Torino, Italy.
Antonio DurandoBreast Unit, Città della Salute e della Scienza, Ospedale S. Anna, Torino, Italy.
Sabino De PlacidoDepartment of Clinical Medicine and Surgery, University of Naples Federico II, Napoli, Italy.
Carmine De AngelisDepartment of Clinical Medicine and Surgery, University of Naples Federico II, Napoli, Italy.
Giancarlo BisagniDepartment of Oncology and Advanced Technology, Oncology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Elisa GaspariniDepartment of Oncology and Advanced Technology, Oncology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Anita RimantiASST Mantova, Azienda Ospedaliera Carlo Poma, Mantova, Italy.
Fabio PuglisiDepartment of Medical Oncology, Unit of Medical Oncology and Cancer Prevention, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.
Mauro MansuttiAzienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
Elisabetta LanducciMedical Oncology, S. Chiara Hospital, Pisa, Italy.
Alessandra FabiPrecision Medicine Breast Unit, Scientific Directorate, Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Luca AreccoDepartment of Medical Oncology, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Marta PerachinoDepartment of Medical Oncology, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Marco BruzzoneU.O. Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Luca BoniU.O. Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Matteo LambertiniDepartment of Medical Oncology, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Lucia Del MastroDepartment of Medical Oncology, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Meredith M ReganDivision of Biostatistics, Dana-Farber Cancer Institute, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intermediate clinical endpoints (ICEs) are frequently used as primary endpoint in randomised trials (RCTs). We aim to assess whether changes in different ICEs can be used to predict changes in overall survival (OS) in adjuvant breast cancer trials. Methods: Individual patient level data from adjuvant phase III RCTs conducted by the Gruppo Italiano Mammella (GIM) and Mammella Intergruppo (MIG) study groups were used. ICEs were computed according to STEEP criteria. Using a two-stage meta-analytic model, we assessed the surrogacy of each ICE at both the outcome (i.e., OS and ICE are correlated irrespective of treatment) and trial (i.e., treatment effects on ICE and treatment effect on OS are correlated) levels. The following ICEs were considered as potential surrogate endpoints of OS: disease-free survival (DFS), distant disease-free survival (DDFS), distant relapse-free survival (DRFS), recurrence-free survival (RFS), recurrence-free interval (RFI), distant recurrence-free interval (DRFI), breast cancer-free interval (BCFI), and invasive breast cancer-free survival (IBCFS). The estimates of the degree of correlation were obtained by copula models and weighted linear regression. Kendall's τ and R Findings: Among the 12,397 patients enrolled from November 1992 to July 2012 in six RCTs, median age at enrolment was 57 years (interquartile range (IQR) 49-65). After a median follow-up of 10.3 years (IQR 6.4-14.5), 2131 (17.2%) OS events were observed, with 1390 (65.2%) attributed to breast cancer. At the outcome-level, Kendall's τ ranged from 0.69 for BCFI to 0.84 for DRFS. For DFS, DDFS, DRFS, RFS, RFI, DRFI, BCFI, and IBCFS endpoints, over 95% of the 8-year OS variability was attributable to the variation of the 5-year ICE. At the trial-level, treatment effects for the different ICEs and OS were strongly correlated, with the highest correlation for RFS and DRFS and the lowest for BCFI. Interpretation: Our results provide evidence supporting the use of DFS, DDFS, DRFS, RFS, RFI, DRFI, and IBCFS as primary endpoint in breast cancer adjuvant trials. Funding: This analysis was supported by the Italian Association for Cancer Research ("Associazione Italiana per la Ricerca sul Cancro", AIRC; IG 2017/20760) and by Italian Ministry of Health-5 × 1000 funds (years 2021-2022).

Indexed as

Adjuvant settingIntermediate clinical endpointOverall survivalSurrogate endpoint

Identifiers

PMID38685923
PMCPMC11056413

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.