ReviewLa Medicina del lavoro2022
Application of P4 (Predictive, Preventive, Personalized, Participatory) Approach to Occupational Medicine.
Review in La Medicina del lavoro, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Adherence to Compression Stockings for Venous Leg Ulcer Prevention: A Pilot Randomised Controlled Trial and Health Economic Analysis, Evaluating a New Multidimensional Tool (PAMCAI).International wound journal · 2025Trial
- Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Non-Invasive Assessment of Hypertonic Muscle Properties After Botulinum Toxin Neuromodulation in Post-Stroke Patients: A Systematic Literature Review of Recent Evidence (2023-2025) on Mobility and Balance.Life (Basel, Switzerland) · 2026Review
- Artificial Intelligence For 6P Medicine: Consolidating AI Needs of Predictive, Preventive, Personalized, Participatory, Precision, and Public Health Trajectories.Journal of medical systems · 2026Review
- Application of large language models as decision support tools in occupational health and safety management: a cohort study of industrial workers.Frontiers in public health · 2026Observational
- A cross-sectional survey to evaluate the status of digestion in rotating- and fixed-shift workers.Frontiers in medicine · 2026Article
- Opportunities and Challenges of Multiomics for Discovery and Monitoring of Human Pathogens.Environment & health (Washington, D.C.) · 2025Review
- The renin-angiotensin system (RAS) and arthritic diseases: therapeutic potential for RAS inhibitors.Inflammopharmacology · 2025Review
- Transforming Health in Developing Nations: Paving the Way for an Integrated Health System.Journal of healthcare leadership · 2025Article
- Embedding patient engagement in the R&D process of a life sciences company through co-creation with a patient expert R&D board: a case study.Research involvement and engagement · 2024Article
- Personalized and predictive strategies for diabetic foot ulcer prevention and therapeutic management: potential improvements through introducing Artificial Intelligence and wearable technology.Medicine and pharmacy reports · 2024Review
- Regulatory and Ethical Considerations on Artificial Intelligence for Occupational Medicine.La Medicina del lavoro · 2024Article
- Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.Frontiers in public health · 2023Article
- After 120 years, the oldest magazine of Occupational Medicine is now an e-journal leaving the printed version.La Medicina del lavoro · 2022Article
- Review
- Ayurvedic clinical decision-making methods to predict, prevent and manage childhood allergic disorders.Journal of Ayurveda and integrative medicineReview
- Chronic periodontitis, dantamoolaroga, indicates chronic systemic inflammation and reduces longevity.Journal of Ayurveda and integrative medicineReview
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
In recent years there has been a growth in the role of prevention in controlling the disease burden. Increasing efforts have been conveyed in the screening implementation and public health policies, and the spreading knowledge on risk factors reflects on major attention to health checks. Despite this, lifestyle changes are difficult to be adopted and the adherence to current public health services like screening and vaccinations remains suboptimal. Additionally, the prevalence and outcome of different chronic diseases and cancers is burdened by social disparities. P4 [predictive, preventive, personalized, participatory] medicine is the conceptualization of a new health care model, based on multidimensional data and machine-learning algorithms in order to develop public health intervention and monitoring the health status of the population with focus on wellbeing and healthy ageing. Each of the characteristics of P4 medicine is relevant to occupational medicine, and indeed the P4 approach appears to be particularly relevant to this discipline. In this review, we discuss the potential applications of P4 to occupational medicine, showing examples of its introduction on workplaces and hypothesizing its further implementation at the occupational level.
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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.