ReviewJournal of craniovertebral junction & spine
From complexity to clarity: A perspective on personalized spine care through genetic, psychosocial, and technological advancements.
Review in Journal of craniovertebral junction & spine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- A real-time metric for quantifying registration stability in mixed reality neurosurgical navigation.International journal of computer assisted radiology and surgery · 2026Article
- Personalized Approaches to Spine Surgery: Innovations and Future Directions.Journal of personalized medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personalized medicine (PM) is transforming spine care by shifting from standardized, "one-size-fits-all" treatments to patient-specific strategies informed by genetic, environmental, psychosocial, and technological factors. Spinal disorders remain a leading cause of disability and healthcare burden worldwide. PM offers a promising approach to addressing their complexity through genomics, advanced imaging, artificial intelligence (AI), and biomarker profiling, enabling tailored interventions that improve diagnostic accuracy, predict treatment outcomes, and guide decisions between surgical and conservative approaches. Key themes include genetic susceptibility to disc degeneration, integration of polygenic risk scores, genotype-based pharmacologic decisions, and AI-driven diagnostics and surgical planning. Innovative tools such as three-dimensional printing, robotic navigation, and wearable technologies are further personalizing care. However, significant barriers, such as high costs, fragmented data systems, workforce gaps, and ethical concerns, limit widespread adoption. Looking forward, emerging technologies like smart implants, clustered regularly interspaced short palindromic repeats-based therapies, and neural interfaces promise to reshape spine care. To fully realize these benefits, future efforts must address affordability, regulatory reform, and clinician training. While this review highlights promising trends, limitations include potential selection bias and rapidly evolving evidence that may outpace current literature. Overall, PM holds great promise to deliver more precise, effective, and patient-centered spine care.
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.