ArticleRadiology2019
Diffusion-weighted MRI in Multicenter Trials of Breast Cancer.
Article in Radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Application of advanced diffusion models from diffusion weighted imaging in a large cohort study of breast lesions.BMC medical imaging · 2023Article
- Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions.Medical physics · 2022Article
- Parametric Response Mapping of FLAIR MRI Provides an Early Indication of Progression Risk in Glioblastoma.Academic radiology · 2021Article
- Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI.European radiology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
30938630What 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.