ArticleBritish journal of clinical pharmacology2020
Commentary on ICH guideline on genomic sampling and data management-enabling opportunities in drug development and patient treatment.
Article in British journal of clinical pharmacology, 2020. 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.
- CommonTranslational and clinical pharmacology · 2022Article
- Commentary on ICH guideline on genomic sampling and data management-enabling opportunities in drug development and patient treatment.British journal of clinical pharmacology · 2020Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to benefit from knowledge of human genomic data in medicine has been anticipated since the sequencing of the human genome. That promise has experienced some degree of realization, particularly in oncology where biomarker-specific clinical trials and patient treatment specific to the genetics of their tumours now occur. With whole genome sequencing and related technologies becoming more affordable, and the generation and management of vast amounts of data and information, more capable, new opportunities to benefit from these developments lie ahead. Already emerging are many studies describing the association of genomic variation with molecular underpinnings of disease, association with patient response to drugs and informing the nomination of new drug targets. These developments are accompanied by some ethical, legal and regulatory challenges, which we discuss in this article.
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Registered trials
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