Evidence map›Paper›PMID 39908473›Full record

ArticleJournal of the National Cancer Institute2025

Prognostic implications of risk definitions from the monarchE and NATALEE trials.

Luca Arecco, Eva Blondeaux, Marco Bruzzone, Grazia Arpino, Carmine De Angelis, Michelino De Laurentiis, Roberta Caputo, Alessandra Fabi, Valeria Sanna, Stefania Gori and 10 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Guideline
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. 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

20 authors.

Luca AreccoDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova 16132, Italy.ORCID 0000-0002-3818-0364
Eva BlondeauxU.O. Epidemiologia Clinica, IRCCS Ospedale Policlinico San Martino, Genova 16132, Italy.ORCID 0000-0001-9566-4579
Marco BruzzoneU.O. Epidemiologia Clinica, IRCCS Ospedale Policlinico San Martino, Genova 16132, Italy.ORCID 0000-0002-8821-4542
Grazia ArpinoDepartment of Clinical Medicine and Surgery, University of Naples Federico II, Naples 80131, Italy.ORCID 0000-0002-4074-2530
Carmine De AngelisScuola Superiore Meridionale, Naples 80138, Italy.ORCID 0000-0003-1158-4630
Michelino De LaurentiisDepartment of Breast and Thoracic Oncology, Istituto Nazionale Tumori-IRCCS "Fondazione G. Pascale", Naples 80131, Italy.ORCID 0000-0001-9009-1572
Roberta CaputoDepartment of Breast and Thoracic Oncology, Istituto Nazionale Tumori-IRCCS "Fondazione G. Pascale", Naples 80131, Italy.ORCID 0000-0003-4231-1184
Alessandra FabiPrecision Medicine Unit in Senology, Scientific Directorate, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome 00168, Italy.
Valeria SannaMedical Oncology Unit, Azienda Ospedaliera Universitaria di Sassari, Sassari 07100, Italy.ORCID 0000-0002-7047-4477
Stefania GoriOncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, Negrar di Valpolicella 37024, Italy.ORCID 0000-0001-6320-405X
Fabio PuglisiDepartment of Medical Oncology, Unit of Medical Oncology and Cancer Prevention, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano 33081, Italy.ORCID 0000-0003-0573-4938
Luca BoniU.O. Epidemiologia Clinica, IRCCS Ospedale Policlinico San Martino, Genova 16132, Italy.ORCID 0000-0003-2217-4047
Simone NardinDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova 16132, Italy.ORCID 0000-0001-6150-5895
Irene GiannubiloDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova 16132, Italy.ORCID 0009-0009-2377-2699
Marta PerachinoDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova 16132, Italy.ORCID 0000-0001-7115-120X
Roberto BoreaDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova 16132, Italy.ORCID 0000-0001-5403-0916
Elisa AgostinettoUniversité libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Academic Trials Promoting Team, Brussels 1070, Belgium.ORCID 0000-0003-0295-7511
Evandro de AzambujaUniversité libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Academic Trials Promoting Team, Brussels 1070, Belgium.ORCID 0000-0001-9501-4509
Matteo LambertiniDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova 16132, Italy.ORCID 0000-0003-1797-5296
Lucia Del MastroDepartment of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genova, Genova 16132, Italy.ORCID 0000-0002-9546-5841

Funding

Associazione Italiana per la Ricerca sul Cancro IG 2017/20760AstraZenecaItalian Association for Cancer ResearchItalian Ministry of Health
6 · The paper itself

Abstract

backgroundThe monarchE and NATALEE trials employed different high-risk inclusion criteria. The main objective is to assess prognostic differences based on their inclusion criteria.

methodsPatients with hormone receptor-positive/HER2-negative early breast cancer enrolled in the phase III Mammella InterGruppo (MIG) 1, Gruppo Italiano Mammella (GIM) 2, and GIM3 trials were categorized as high-risk cohort (HRC) and low-risk cohort (LRC) according to the inclusion criteria of monarchE and NATALEE trials. Subsequently, they were further classified in 3 different cohorts: concordant LRC (low risk for both trials), discordant risk cohort (high risk for only one trial), and concordant HRC (high risk for both trials). Main outcomes were disease-free survival (DFS) and overall survival (OS).

resultsAmong 4795 patients, 1343 (28.0%) and 2689 (56.1%) were classified as HRC according to the monarchE and NATALEE, respectively. At a median follow-up of 7.0 years (y), 7-y DFS was 87% and 89% in the LRC and 69% and 76% in the HRC according to monarchE and NATALEE, respectively. The 7-y DFS was 89%, 84%, and 69% in concordant LRC, discordant cohort, and concordant HRC, respectively (discordant cohort vs concordant LRC: hazard ratio [HR] = 1.45, 95% CI = 1.22 to 1.73; concordant HRC vs concordant LRC: HR = 2.97, 95% CI = 2.53 to 3.48; P < .001). The 7-y OS was 96% in concordant LRC, 95% in discordant cohort, and 84% in concordant HRC (discordant cohort vs concordant LRC: HR = 1.52, 95% CI = 1.16 to 1.98; concordant HRC vs concordant LRC: HR = 3.38, 95% CI = 2.66 to 4.29; P < .001).

conclusionsPatients in the concordant HRC showed statistically and clinically significant poorer prognoses compared with patients in the discordant risk and concordant LRC.

Indexed as

Breast NeoplasmsAdultAgedDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedPrognosisReceptors, EstrogenReceptors, ProgesteroneRisk AssessmentERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID39908473
PMCPMC12145907

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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.