Evidence map›Paper›PMID 42726073›Full record

ArticleJournal of global health2026

Clinical inertia in cardiovascular risk management: prevalence, associated factors, and impact on outcomes of the OPM study.

José Abellán Alemán, Pablo Sánchez-Rubio Lezcano, Daniel Escribano Pardo, Luis Castilla Guerra, Rafael Crespo Sabaris, Guillermo Jiménez Portillo, Begoña Rincón Ruiz, Gloria Antón Pérez, Jesús Iturralde Iriso, Pilar Segura and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

José Abellán AlemánCátedra de Riesgo Cardiovascular, Universidad Católica de Murcia, Murcia, Spain.
Pablo Sánchez-Rubio LezcanoServicio de Medicina Interna, Hospital San Jorge, Huesca, Spain.
Daniel Escribano PardoCentro de Salud Oliver, Zaragoza, Spain.
Luis Castilla GuerraServicio de Medicina Interna, Hospital Clínico Universitario Virgen Macarena, Sevilla, Spain.
Rafael Crespo SabarisCentro de Salud de Entrena, La Rioja, Spain.
Guillermo Jiménez PortilloServicio de Nefrología, Hospital Universitario Poniente, Almería, Spain.
Begoña Rincón RuizServicio de Nefrología, Hospital de Cuenca, Cuenca, Spain.
Gloria Antón PérezCentros de Diálisis, Avericum, Spain.
Jesús Iturralde IrisoCentro de Salud Aranbizkarra, Vitoria, Spain.
Pilar SeguraServicio de Nefrología, Hospital de Jaén, Jaén, Spain.
Pedro J Tárraga LópezFaculty of Medicine, University of Castilla-La Mancha, Albacete, Spain.
Javier Nieto IglesiasServicio de Nefrología, Hospital General Universitario, Ciudad Real, Spain.
José Francisco López-GilSchool of Medicine, Universidad Espíritu Santo, Samborondón, Ecuador.
Researchers of the OPM Study

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical inertia, defined as the failure to initiate or intensify therapy when clinically indicated, represents a major and under-addressed barrier to achieving cardiovascular risk (CVR) factor control in primary care. Despite the availability of evidence-based guidelines and effective pharmacological treatments, many patients with uncontrolled hypertension, diabetes, or dyslipidaemia do not receive appropriate treatment intensification. We aimed to evaluate the prevalence of clinical inertia, identify associated patient-level factors, and assess its impact on CVR factor outcomes in high-risk primary care patients. Methods: This was a pre-specified secondary analysis of the Objetivo Punto de Mira (OPM) study, a multicentre, prospective, quasi-experimental interventional study conducted in primary care settings across nine Spanish regions (2024-2025). We included 711 participants with at least one uncontrolled CVR factor at baseline (hypertension, diabetes, or dyslipidaemia). Clinical inertia was operationalised, among therapeutically adherent patients, as the absence of documented pharmacological treatment initiation, dose escalation, or appropriate combination therapy when a risk factor remained uncontrolled. We estimated prevalence with 95% confidence intervals (CIs). Multivariable logistic regression identified factors associated with clinical inertia. Linear mixed-effects models assessed changes in CVR factors from baseline to 90-day follow-up, comparing patients with and without clinical inertia. Risk analysis quantified the association between clinical inertia and persistent uncontrolled status. Results: Among patients with uncontrolled conditions at baseline, clinical inertia was observed in 49.3% (n/N = 208/422) for hypertension, 31.1% (n/N = 73/235) for diabetes, and 38.2% (n/N = 217/568) for dyslipidaemia. Overall, 54.3% of participants (n/N = 386/711) exhibited clinical inertia in at least one condition. We found no statistically significant associations between clinical inertia and age, sex, CVR category, or excess weight. Clinical inertia significantly increased the risk of remaining uncontrolled across any condition (relative risk = 1.13; 95% CI = 1.03, 1.24; absolute risk difference = 9.3%; 95% CI = 2.4, 16.2; number needed to harm ≈ 11, P = 0.007), though not for individual conditions separately. At 90-day follow-up, patients with clinical inertia showed significantly smaller reductions in total cholesterol (between-group difference in change = 19.3 mg/dL; 95% CI = 12.4, 26.3, P < 0.001) and low-density lipoprotein cholesterol (15.5 mg/dL; 95% CI = 8.9, 22.0, P < 0.001) compared with patients who received treatment intensification. We also observed a small but statistically significant difference in body mass index reduction (0.25 kg/m Conclusions: Clinical inertia affects more than half of high-risk primary care patients with uncontrolled CVR factors. Patient demographic and clinical characteristics examined (age, sex, CVR category, excess weight) did not predict clinical inertia in this sample, consistent with, but not proof of, provider- and system-level influences described in prior literature.

Indexed as

Cardiovascular DiseasesPrimary Health CareAgedDiabetes MellitusDyslipidemiasFemaleHeart Disease Risk FactorsHumansHypertensionMaleMiddle AgedPrevalenceProspective StudiesSpainUndertreatmentcardiovascular preventionguideline adherenceprimary carequality of caretherapeutic intensificationtreatment optimisation

Identifiers

PMID42726073
PMCPMC13564932

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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.