ReviewNature reviews. Endocrinology2026
Precision medicine in low-income settings and small island developing states.
Review in Nature reviews. Endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine tailors prevention, diagnosis and treatment of cardiometabolic diseases to individual genetic, environmental and lifestyle determinants, with the potential to fundamentally change healthcare. However, low-income and middle-income countries (LMICs) and small island developing states (SIDS) experience severe implementation barriers: inadequate healthcare infrastructure, prohibitive costs, under-representation in genomic datasets and additional SIDS-specific constraints. This Perspective advances three specific contributions beyond generic equity calls. First, it delineates distinct precision medicine pathways for larger LMICs versus SIDS, highlighting SIDS opportunities for regional consortia, shared sequencing and/or biobanking hubs and technological leapfrogging via mobile health platforms and digital phenotyping. Second, it emphasizes practical and high-impact entry points that are financially sustainable. Additionally, it advocates for integrating polygenic risk-based stratification into existing non-communicable disease care pathways rather than establishing separate specialist services. Third, it delineates a staged implementation framework that prioritizes ethical oversight and robust data governance, underscoring the importance of privacy safeguards, data sovereignty, equitable benefit sharing, community consent mechanisms and alignment with the Sustainable Development Goals to minimize associated risks of exploitation. Equitable partnerships between LMICs and high-income countries, expansion of diverse genomic data and community-driven innovation will ensure that precision tools effectively target metabolic phenotypes in LMICs and SIDS while advancing global health equity.
Indexed as
Identifiers
41991772What Socratic 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 Socratic graph.