ArticleFamilial cancer2013
Underestimated survival predictions of the prognostic tools Adjuvant! Online and PREDICT in BRCA1-associated breast cancer patients.
Article in Familial cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Communicating prognosis to women with early breast cancer - overview of prediction tools and the development and pilot testing of a decision aid.BMC health services research · 2019Pooled it
- Prognostic models for breast cancer: a systematic review.BMC cancer · 2019Pooled it
- Worse breast cancer prognosis of BRCA1/BRCA2 mutation carriers: what's the evidence? A systematic review with meta-analysis.PloS one · 2015Pooled it
- Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network.BMC medical informatics and decision making · 2023Article
- A comparative analysis of recurrence risk predictions in ER+/HER2- early breast cancer using NHS Nottingham Prognostic Index, PREDICT, and CanAssist Breast.Breast cancer research and treatment · 2022Article
- Article
- Article
- Article
- Breast cancer therapy planning - a novel support concept for a sequential decision making problem.Health care management science · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BRCA1-associated breast cancer is considered an unique clinical entity with its own specific histopathological characteristics. Several recently published large studies have shown that overall survival of BRCA1 mutation carriers having breast cancer is similar to sporadic breast cancer patients. It was also suggested that better response to chemotherapy is one of the most important factors that improves the clinical outcome of breast cancers with unfavorable histopathological subtypes in BRCA1 mutation carriers. Adjuvant! Online and PREDICT are web-based prognostic tools that estimate the survival benefit of adjuvant chemotherapy in primary breast cancer patients. These tools have been extensively validated in different populations; however, the accuracy of the predictions made by Adjuvant! Online and PREDICT among BRCA1 mutation carriers has not yet been investigated. In this study we have found, that predictions of overall and breast cancer-specific survival obtained from Adjuvant! Online and PREDICT were significantly lower than the observed survival percentages in the study population [predicted--observed difference for 10-year overall survival: -9.75%, P < 0.0001 (Adjuvant! Online); -10.21%, P < 0.0001 (PREDICT)]. Thus this study suggests that Adjuvant! Online and PREDICT should be used with caution in this group of patients. Further updating of adjuvant therapy benefit calculation tools by inclusion of the information about inherited genetic alterations should be considered to improve the performance of the prognostic programs among hereditary breast cancer patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.