Electronic medical records: fast track to big data in bipolar disorder.

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 synthesis or guideline pooled it.

1. Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence.BMC psychiatry · 2016
   Pooled it
2. Big data for bipolar disorder.International journal of bipolar disorders · 2016
   Review
3. Big data are coming to psychiatry: a general introduction.International journal of bipolar disorders · 2015
   Article
4. Data management by using R: big data clinical research series.Annals of translational medicine · 2015
   Article

Corrections and comments

• Comment on
  Validation of electronic health record phenotyping of bipolar disorder cases and controls.2015

Authors and funding

1 author.

Funding

Abstract

PubMed holds no abstract for this paper.

Indexed as