ReviewRheumatology international2014
Databases and registers: useful tools for research, no studies.
Review in Rheumatology international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- The Multi-Institutional Medullary Thyroid Cancer Collaborative Registry: Can a Rare Tumor Registry Accurately Represent the Real-World Patient Population?Thyroid : official journal of the American Thyroid Association · 2024Article
- Racial disparities in comorbidities of patients with psoriatic arthritis.Rheumatology international · 2023Article
- Treat-to-target in axial spondyloarthritis - what about physical function and activity?Nature reviews. Rheumatology · 2021Review
- MSGP: the first database of the protein components of the mammalian stress granules.Database : the journal of biological databases and curation · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are many misunderstandings about databases. Database is a commonly misused term in reference to any set of data entered into a computer. However, true databases serve a main purpose, organising data. They do so by establishing several layers of relationships; databases are hierarchical. Databases commonly organise data over different levels and over time, where time can be measured as the time between visits, or between treatments, or adverse events, etc. In this sense, medical databases are closely related to longitudinal observational studies, as databases allow the introduction of data on the same patient over time. Basically, we could establish four types of databases in medicine, depending on their purpose: (1) administrative databases, (2) clinical databases, (3) registers, and (4) study-oriented databases. But a database is a useful tool for a large variety of studies, not a type of study itself. Different types of databases serve very different purposes, and a clear understanding of the different research designs mentioned in this paper would prevent many of the databases we launch from being just a lot of work and very little science.
Indexed as
Identifiers
24509895What 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.