ArticleJournal of cancer research and clinical oncology1994
Third colloquium on cellular signal transduction: cell-cycle signalling. German Cancer Research Centre Heidelberg, 14 January 1994.
Article in Journal of cancer research and clinical oncology, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
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Abstract
The annual meeting of the DKFZ research programme Tumor Cell Regulation was originally conceived by its members as an internal forum for mutual information and progress discussion with their cooperating groups. However, because the attractive topics and contributions, these colloquia receive increasing attention also from non-members of the Tumor Cell Regulation programme and, this year, the number of the external participants exceeded even that of the internal members. We therefore anticipate this activity becoming a traditional event of wide interest.
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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.