Precision medicine with electronic medical records: from the patients and for the patients.

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.

1. Clinical Decision Support May Link Multiple Domains to Improve Patient Care: Viewpoint.JMIR medical informatics · 2020
   Article
2. A Web-Based Pharmacogenomics Search Tool for Precision Medicine in Perioperative Care.Journal of personalized medicine · 2020
   Article
3. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.Database : the journal of biological databases and curation · 2020
   Article
4. An infrastructure for precision medicine through analysis of big data.BMC bioinformatics · 2018
   Article

Corrections and comments

• Comment on
  Identification of type 2 diabetes subgroups through topological analysis of patient similarity.2015

Authors and funding

3 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.