ArticleKidney international2015
Comparative health services research across populations: the unused opportunities in big data.
Article in Kidney international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Health claims databases used for kidney research around the world.Clinical kidney journal · 2021Review
- Big data for bipolar disorder.International journal of bipolar disorders · 2016Review
- The epidemiology of hospitalised acute kidney injury not requiring dialysis in England from 1998 to 2013: retrospective analysis of hospital episode statistics.International journal of clinical practice · 2016Observational
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Authors and funding
2 authors.
Funding
Abstract
Large population registries present opportunities to understand the epidemiology of disease, study patters of care, and compare the effectiveness of different care practices. While these 'big data' tempt investigators to examine all available individuals, a targeted approach that restricts the study to an optimal sub-population may yield more relevant insights. We discuss how researchers might adapt their studies existing literature to generate additional insights.
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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.