ArticleBritish journal of clinical pharmacology2017
Biomarkers in solid organ transplantation.
Article in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Review: immunosuppression for the lung transplant patient.Journal of thoracic disease · 2021Review
- Review
- Biomarkers in solid organ transplantation.British journal of clinical pharmacology · 2017Article
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recipients of solid organs such as the kidney and heart are treated with standard immunosuppressive regimens, and personalized medicine has not yet reached the clinic for this patient population. Biomarkers potentially will allow treatment regimens to be adjusted, according to the needs of the individual patient. Biomarkers may reflect the degree of immunosuppression of the immune system, or they may reflect early damage to the transplanted organ.
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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.