ArticleNeurology2013
Comment: Increased risk for type 2 diabetes in spinal cord injury.
Article in Neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 5 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of diabetes is increasing globally, with an estimated 371 million individuals affected globally and 4.8 million people who died due to diabetes in 2012.(1) Type 2 diabetes accounts for at least 90% of all cases of diabetes, and the number of people with type 2 diabetes is increasing in every country.(1) Abnormalities of carbohydrate and lipid metabolism are more common among people in the spinal cord injury (SCI) population than in the able-bodied population.(2) There is increased morbidity and mortality due to type 2 diabetes in SCI.
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What OpenQuestion holds
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.