ArticleMolecular and clinical oncology2022
Analysis and prediction of second primary malignancy in patients with breast cancer.
Article in Molecular and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 3 citations in OpenAlex.
- Molecule subtypes play important roles for second primary malignancies development based on 324,661 breast cancer survivors.Scientific reports · 2025Article
- Clinicopathological Characteristics of Multiple Primary Malignancies Involving Female Genital Tract at a Tertiary Cancer Institute of Northeast India.Journal of mid-life healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Second primary malignancy (SPM) is common in breast cancer (BC). The present study aimed to profile the characteristics of BC with SPM and to identify patients at high risk of SPM. Clinical and outcome data of BC cases were retrieved from the SEER database. Principal component analysis and a random forest model were utilized to create a model for predicting the occurrence of SPMs. Of the 286,047 BC cases analyzed, 9.32% developed SPMs. Approximately 70% of BCs that developed SPMs were ductal carcinoma and 71% of BCs that developed SPMs were human epidermal growth factor receptor 2 (HER2)
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.