Medicine: Adapt current tools for handling big data.

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

5 citing papers in PubMed.

1. Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.Scientific reports · 2020
   Article
2. Clinical epidemiology in the era of big data: new opportunities, familiar challenges.Clinical epidemiology · 2017
   Article
3. Pattern transitions in spatial epidemics: Mechanisms and emergent properties.Physics of life reviews · 2016
   Review
4. Leveraging biomedical informatics for assessing plasticity and repair in primate spinal cord injury.Brain research · 2015
   Review
5. Big data in medical science--a biostatistical view.Deutsches Arzteblatt international · 2015
   Review

Corrections and comments

• Comment on
  Biology: The big challenges of big data.2013

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as