ArticleClinical cancer research : an official journal of the American Association for Cancer Research2015
Diffuse Large B-cell Lymphoma Classification Tied Up Nicely with a "String".
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. 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.
- Integrating precision medicine through evaluation of cell of origin in treatment planning for diffuse large B-cell lymphoma.Blood cancer journal · 2019Review
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
Abstract
Molecular classification of diffuse large B-cell lymphoma (DLBCL) is a critical biologic, prognostic, and predictive distinction. Since the discovery of two molecular types of DLBCL in otherwise morphologically indistinguishable cases, numerous methodologies for making this distinction have been published. A method and technical platform may now be reaching consensus.
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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.