Evidence map›Paper›PMID 27802449›Full record

ArticleBritish journal of cancer2016

The prognostic performance of Adjuvant! Online and Nottingham Prognostic Index in young breast cancer patients.

Matteo Lambertini, Ana Catarina Pinto, Lieveke Ameye, Lynn Jongen, Lucia Del Mastro, Fabio Puglisi, Francesca Poggio, Marta Bonotto, Giuseppe Floris, Kathleen Van Asten and 5 more

Abstract read
In one paragraph

Article in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  12. Clinical factors affecting the long-term survival of breast cancer patients.The Journal of international medical research · 2023
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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

15 authors.

Matteo LambertiniDepartment of Medicine, BrEAST Data Centre, Institut Jules Bordet, and l'Université Libre de Bruxelles (U.L.B.), Boulevard de Waterloo 121, 1000 Brussels, Belgium.
Ana Catarina PintoDepartment of Medicine, BrEAST Data Centre, Institut Jules Bordet, and l'Université Libre de Bruxelles (U.L.B.), Boulevard de Waterloo 121, 1000 Brussels, Belgium.
Lieveke AmeyeData Centre, Institut Jules Bordet, and l'Université Libre de Bruxelles (U.L.B.), Boulevard de Waterloo 121, 1000 Brussels, Belgium.
Lynn JongenDepartment of Oncology, KU Leuven-University of Leuven, University Hospitals Leuven, B-3000 Leuven, Belgium.
Lucia Del MastroDepartment of Medical Oncology, U.O. Sviluppo Terapie Innovative, IRCCS AOU San Martino-IST, Largo Rosanna Benzi 10, 16132 Genova, Italy.
Fabio PuglisiDepartment of Medical and Biological Sciences, University of Udine, Piazzale Santa Maria della Misericordia 15, 33010 Udine, Italy.
Francesca PoggioDepartment of Medical Oncology, U.O. Oncologia Medica 2, IRCCS AOU San Martino-IST, Largo Rosanna Benzi 10, 16132 Genova, Italy.
Marta BonottoDepartment of Medical and Biological Sciences, University of Udine, Piazzale Santa Maria della Misericordia 15, 33010 Udine, Italy.
Giuseppe FlorisDepartment of Imaging and Pathology, Laboratory of Translational Cell & Tissue Research, KU Leuven-University of Leuven, B-3000 Leuven, Belgium.
Kathleen Van AstenDepartment of Oncology, KU Leuven-University of Leuven, University Hospitals Leuven, B-3000 Leuven, Belgium.
Hans WildiersDepartment of Oncology, KU Leuven-University of Leuven, University Hospitals Leuven, B-3000 Leuven, Belgium.
Patrick NevenDepartment of Oncology, KU Leuven-University of Leuven, University Hospitals Leuven, B-3000 Leuven, Belgium.
Evandro de AzambujaDepartment of Medicine, BrEAST Data Centre, Institut Jules Bordet, and l'Université Libre de Bruxelles (U.L.B.), Boulevard de Waterloo 121, 1000 Brussels, Belgium.
Marianne PaesmansData Centre, Institut Jules Bordet, and l'Université Libre de Bruxelles (U.L.B.), Boulevard de Waterloo 121, 1000 Brussels, Belgium.
Hatem A AzimDepartment of Medicine, BrEAST Data Centre, Institut Jules Bordet, and l'Université Libre de Bruxelles (U.L.B.), Boulevard de Waterloo 121, 1000 Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited data are available on the prognostic performance of Adjuvant! Online (AOL) and Nottingham Prognostic Index (NPI) in young breast cancer patients.

methodsThis multicentre hospital-based retrospective cohort study included young (⩽40 years) and older (55-60 years) breast cancer patients treated from January 2000 to December 2004 at four large Belgian and Italian institutions. Predicted 10-year overall survival (OS) and disease-free survival (DFS) using AOL and 10-year OS using NPI were calculated for every patient. Tools ability to predict outcomes (i.e., calibration) and their discriminatory accuracy was assessed.

resultsThe study included 1283 patients, 376 young and 907 older women. Adjuvant! Online accurately predicted 10-year OS (absolute difference: 0.7%; P=0.37) in young cohort, but overestimated 10-year DFS by 7.7% (P=0.003). In older cohort, AOL significantly underestimated both 10-year OS and DFS by 7.2% (P<0.001) and 3.2% (P=0.04), respectively. Nottingham Prognostic Index significantly underestimated 10-year OS in both young (8.5%; P<0.001) and older (4.0%; P<0.001) cohorts. Adjuvant! Online and NPI had comparable discriminatory accuracy.

conclusionsIn young breast cancer patients, AOL is a reliable tool in predicting OS at 10 years but not DFS, whereas the performance of NPI is sub-optimal.

Indexed as

AdultBreast NeoplasmsFemaleHumansMiddle AgedPrognosisSurvival Analysis

Identifiers

PMID27802449
PMCPMC5155359

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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.