ReviewVisceral medicine2021
Clinical Decision Support Systems.
Review in Visceral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Multidimensional Predictors of Disease Severity and Health Outcomes in Patients with Sickle Cell Disease:Saudi medical journal · 2026Observational
- Medico-legal cases involving gastroenterologists in Canada between 2017 and 2021.Journal of the Canadian Association of Gastroenterology · 2026Article
- Clinical Decision Support Systems Using Home Blood Pressure Readings to Manage Patients With Hypertension: Scoping Review.Journal of medical Internet research · 2025Article
- Review
- A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study.JMIR medical informatics · 2025Article
- Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review.JMIR research protocols · 2024Article
- Article
- Article
- Detailed Evaluation of Androgen Deprivation Overtreatment in Prostate Cancer Patients Compared to the European Association of Urology Guidelines Using Long-term Data from the European Randomised Study of Screening for Prostate Cancer Rotterdam.European urology open science · 2022Article
- Digital Communication Strategies in Visceral Medicine.Visceral medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBy combining up-to-date medical knowledge and steadily increasing patient data, a new level of medical care can emerge. SUMMARY AND KEY MESSAGES: Clinical decision support systems (CDSSs) are an arising solution to handling rich data and providing them to health care providers in order to improve diagnosis and treatment. However, despite promising examples in many areas, substantial evidence for a thorough benefit of these support solutions is lacking. This may be due to a lack of general frameworks and diverse health systems around the globe. We therefore summarize the current status of CDSSs in medicine but also discuss potential limitations that need to be overcome in order to further foster future development and acceptance.
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.