ArticleDiabetologia1992
Scientific and ethical consequences of disease prediction.
Article in Diabetologia, 1992. 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.
- Psychometric properties of the Pediatric Testing Attitudes Scale-Diabetes (P-TAS-D) for parents of children undergoing predictive risk screening.Pediatric diabetes · 2013Article
- The ethics of type 1 diabetes prediction and prevention research.Theoretical medicine and bioethics · 2003Article
- Use of artificial intelligence in forecasting glaucoma progression.Taiwan journal of ophthalmologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
HLA-typing, gene analysis, anti-islet cell antibody testing and metabolic studies can identify people at high risk for developing Type 1 (insulin-dependent) diabetes mellitus prior to the onset of clinical disease. The positive predictive value of these tests is high in first degree relatives of patients with Type 1 diabetes, but six times less so in the general population, where disease incidence is much lower but where 90% of new cases occur. Multiple testing improves sensitivity but decreases specificity. Intervention strategies are being designed with the aim of delaying or preventing progression to clinical disease. The more invasive the intervention, the greater is the specificity required. The practical and ethical implications of identifying high risk of diabetes in healthy individuals are complex and require further research, but some lessons can be learned from the experience of other disease prediction programmes.
Indexed as
Identifiers
11657371What 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.