ArticleAmerican journal of preventive cardiology2026
The dominant driver paradigm of cardiometabolic care.
Article in American journal of preventive cardiology, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In cardiometabolic care, the conventional paradigm is based on concurrent and independent management of different drivers (e.g., abnormal adiposity, dysglycemia, and hypertension) that are causally interconnected. Alternatively, epidemiological and mechanistic evidence supports a novel dominant driver paradigm, based on the determination of the earliest causative driver. Objective: To determine the degree of discordance between the conventional paradigm (prevalence distributions of unprocessed cardiometabolic drivers) and the dominant driver paradigm (prevalence distributions of processed dominant drivers). Methods: The cardiometabolic drivers at initial presentation of patients from a preventive cardiology center were retrospectively tabulated and an etiologic dominant driver was determined for each patient. Prevalence differences and agreement measures between the conventional tabulation of drivers and the dominant drivers were ascertained. Results: 966 patients were included (mean age, 61.7 ± 16.0; 606 [63.0%] female). The prevalence of abnormal adiposity was similar in both paradigms (67.6% vs 66.5%; Conclusion: Clinical targeting of dysglycemia, hypertension, and dyslipidemia would be drastically reduced with a dominant driver paradigm in which abnormal adiposity is the most frequent dominant driver. With the advent of novel and effective pharmacotherapies for the treatment of abnormal adiposity, simplification of cardiometabolic-based chronic disease treatment is possible.
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.