ReviewNature clinical practice. Oncology2008
Precancerous lesions of the breast.
Review in Nature clinical practice. Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 15 citations in OpenAlex.
- An Approach for Differential Diagnosis of Breast Tumors by ctDNA Methylation Sequencing.Cancer medicine · 2025Article
- Article
- Article
- MR imaging-guided vacuum assisted breast biopsy: Radiological-pathological correlation and underestimation rate in pre-surgical assessment.European journal of radiology open · 2020Article
- Interferon-microRNA signalling drives liver precancerous lesion formation and hepatocarcinogenesis.Gut · 2016Article
- Multiparametric spectroscopic photoacoustic imaging of breast cancer development in a transgenic mouse model.Theranostics · 2014Article
- Applying the 2011 Canadian guidelines for breast cancer screening in practice.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2012Review
- Ductal carcinoma in situ of the breast: a surgical perspective.International journal of surgical oncology · 2012Article
- High-risk lesions diagnosed at MRI-guided vacuum-assisted breast biopsy: can underestimation be predicted?European radiology · 2011Article
- The stress kinase MKK7 couples oncogenic stress to p53 stability and tumor suppression.Nature genetics · 2011Article
- Re: Precancerous lesions of the breast.Nature clinical practice. Oncology · 2009Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The management of precancerous lesions of the breast has become a considerable clinical problem in the past 20 years, mostly as a consequence of increased detection due to the introduction of mammographic screening. It is not possible to identify with absolute certainty which of these lesions will progress to invasive carcinoma, and tailoring the treatment according to each individual case remains a challenge. There is a particular dilemma for surgeons, who must balance the risk of resecting too much and causing unnecessary cosmetic damage, or resecting too little and leaving an increased risk of recurrence. Further knowledge in the field of predictive and prognostic factors together with the development of gene-profiling techniques will, hopefully, provide answers to these questions. Among precancerous lesions of the breast, particular attention should be paid to ductal carcinoma in situ or intraductal carcinoma, appropriate treatment of which is crucial to prevent invasive breast cancer. Nearly all possible combinations of surgery, radiotherapy and medical treatments (anti-estrogens) have been tested in different clinical trials, but the situation is far from satisfactory. We believe that an important contribution can come from oncoplastic surgery, which is the application of plastic and reconstructive surgical techniques to ensure both radical excision of the disease and acceptable cosmetic outcomes.
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.