Trip Database Blog

Liberating the literature


January 2018

Autosynthesis – update on progress

The autosynthesis project is an attempt to create automatic evidence reviews; automatically synthesising RCTs and systematic reviews.

We’re making great progress and the visualisations are stunning (see below). In fact the whole interface is amazing, allowing users to interact with the data (compared with the traditional, static, forest plot)!

NOTE: the underlying data is not accurate/calibrated but the point of sharing is purely to show how it’ll look.

Level One

This is the high level view – showing all the interventions for a given disease.  Each blob represents an individual intervention.  The horizontal axis represents likelihood of effectiveness and the vertical axis is a measure of bias for the evidence used.  Blob size is proportionate to the sample size – the bigger the blob the more trials/SRs.

Level Two

Click on a blob and it shows the constituent elements of the blob!  Different colours distinguish between RCTs and systematic reviews.  Again blob size is proportionate to sample size (for RCTs).

We’re hoping it’ll be available by February.

Trip and 2017 – improving care, globally, on a massive scale

As we enter a new year it’s tradition to look back at the previous year.  So, for 2017, so here we go:

  • 981,510 separate sessions (separate visits to the site)
  • 618,082 separate users
  • 3,573,702 page views
  • 5mins 5 seconds – average session duration
  • 4,989,342 minutes spent on the site over the year by all our users
  • 12.66% reduction in bounce rate (people who come to the site and only look at the page they land on)
  • Most popular country for visitors: USA (21.3%), UK (11.0%), Spain (6.8%), Australia (5.2%) and Canada (4.6%)

Those figures relate to people coming to the site but we allow third party sites to use our service via an API.  As such we get used a lot more.

Given that over 40% of our searches support improved patient care (see here and here) we can be sure we’ve had a massive impact on global healthcare.  Previously we’ve tried to quantify our impact so here goes for 2017:

  • If we assume 1.25 searches per session on the site = 1,226,887 searches
  • Assume we gain another 33% of searches via our API = 408,921
  • Total searches = 1,635,808

We estimate 40.8% of searches result in improved patient care which equals 667,410.

So, globally, Trip has improved care 667,410 times.

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