ArticleFrontiers in big data2021
Evaluating the Effectiveness of Personalized Medicine With Software.
Article in Frontiers in big data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Applying methods for personalized medicine to the treatment of alcohol use disorder.Journal of consulting and clinical psychology · 2021Trial
- Pharmacological Approaches and Innovative Strategies for Individualized Patient Care.Recent patents on biotechnology · 2026Review
- Development of the treatment prediction model in the artificial intelligence in depression - medication enhancement study.Npj mental health research · 2025Article
- Mathematical modeling and mechanisms of HIV latency for personalized anti latency therapies.NPJ systems biology and applications · 2025Review
- Measuring the Performance of Survival Models to Personalize Treatment Choices.Statistics in medicine · 2025Article
- Uncovering individualised treatment effects for educational trials.Scientific reports · 2024Article
- Measuring the performance of prediction models to personalize treatment choice.Statistics in medicine · 2023Article
- Mental health care for older adults: recent advances and new directions in clinical practice and research.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022Article
- Personalized optimal nutrition lifestyle for self obesity management using metaalgorithms.Scientific reports · 2022Article
- Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership.Frontiers in digital health · 2022Article
- Evaluating the Effectiveness of Personalized Medicine With Software.Frontiers in big data · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present methodological advances in understanding the effectiveness of personalized medicine models and supply easy-to-use open-source software. Personalized medicine involves the systematic use of individual patient characteristics to determine which treatment option is most likely to result in a better average outcome for the patient. Why is personalized medicine not done more in practice? One of many reasons is because practitioners do not have any easy way to holistically evaluate whether their personalization procedure does better than the standard of care, termed
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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.