ArticleCancer cell2022
Towards the development of DCIS risk prediction models.
Article in Cancer cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Transcriptome predictors of second breast events in ductal carcinoma in situ: a case‒control study including Black and White women.Breast cancer research : BCR · 2026Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ductal carcinoma in situ (DCIS) has a variable natural history, with a poorly understood biology. In this issue of Cancer Cell, Strand et. al. use two well-annotated DCIS repositories to identify an 812-gene classifier that associates with high risk of DCIS recurrence and define novel DCIS subtypes that informs future studies.
Indexed as
Identifiers
36513046What 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.