GuidelineJournal of public health (Oxford, England)2018
GUILD: GUidance for Information about Linking Data sets.
Guideline in Journal of public health (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 5 of them syntheses that pooled it.
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
74 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Evaluation of reporting quality of cohort studies using real-world data based on RECORD: systematic review.BMC medical research methodology · 2023Pooled it
- Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Pooled it
- What makes administrative data "research-ready"? A systematic review and thematic analysis of published literature.International journal of population data science · 2022Pooled it
- Pooled it
- Data Resource Profile: Australia's Person Level Integrated Data Asset (PLIDA).International journal of epidemiology · 2026Article
- School absence and mental health service referral: Cohort study of a South London data linkage.JCPP advances · 2026Article
- Using Open Science Tools to Teach Environmental Sciences.Ecology and evolution · 2025Article
- A scoping review of routinely collected linked data in research on gambling harm.NPJ digital medicine · 2025Article
- Health inequalities in incidence of bacteraemias: a national surveillance and data linkage study, England, 2018 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- Record linkage without patient identifiers: Proof of concept using data from South Africa's national HIV program.PLOS global public health · 2025Article
- Article
- Access to services for mental ill-health and substance use among people released from prison in Scotland (RELEASE): Retrospective observational cohort study protocol.International journal of population data science · 2025Article
- Data dictionaries: essential tools for the ethical and transparent use of integrated data.International journal of population data science · 2025Article
- The application of population data linkage to capture sibling health outcomes among children and young adults with neurodevelopmental conditions. A scoping review.International journal of population data science · 2025Article
- Article
- Obesity and dental caries in childhood: trends in prevalence and socioeconomic inequalities-a multicohort population-wide data linkage study.Archives of disease in childhood · 2024Article
- Optimising the use of electronic medical records for large scale research in psychiatry.Translational psychiatry · 2024Review
- Manual Evaluation of Record Linkage Algorithm Performance in Four Real-World Datasets.Applied clinical informatics · 2024Article
- Evaluating Linkage Quality of Population-Based Administrative Data for Health Service Research.Journal of Korean medical science · 2024Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Record linkage of administrative and survey data is increasingly used to generate evidence to inform policy and services. Although a powerful and efficient way of generating new information from existing data sets, errors related to data processing before, during and after linkage can bias results. However, researchers and users of linked data rarely have access to information that can be used to assess these biases or take them into account in analyses. As linked administrative data are increasingly used to provide evidence to guide policy and services, linkage error, which disproportionately affects disadvantaged groups, can undermine evidence for public health. We convened a group of researchers and experts from government data providers to develop guidance about the information that needs to be made available about the data linkage process, by data providers, data linkers, analysts and the researchers who write reports. The guidance goes beyond recommendations for information to be included in research reports. Our aim is to raise awareness of information that may be required at each step of the linkage pathway to improve the transparency, reproducibility, and accuracy of linkage processes, and the validity of analyses and interpretation of results.
Indexed as
Identifiers
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.