Evidence map›Paper›PMID 42577685›Full record

ArticleFrontiers in pharmacology2026

Development and internal validation of GENADHECAR: a screening instrument for identifying probable statin non-adherence in patients with ischemic heart disease.

Jose A Quesada, Adriana López-Pineda, Rauf Nouni-García, Alberto Cordero, Álvaro Carbonell-Soliva, Amanda Esquerdo-Arroyo, Avelino Pereira-Exposito, Silvia Guillen-García, Vicente Arrarte, Vicente Bertomeu-González and 7 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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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0citing papers 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

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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

17 authors.

Jose A Quesada *Department of Clinical Medicine, Miguel Hernández University (UMH), Sant Joan D'Alacant, Spain.
Adriana López-Pineda *Department of Clinical Medicine, Miguel Hernández University (UMH), Sant Joan D'Alacant, Spain.
Rauf Nouni-GarcíaPrimary Care Research Center (CIAP), Miguel Hernández University, Sant Joan d'Alacant, Spain.
Alberto CorderoDepartment of Clinical Medicine, Miguel Hernández University (UMH), Sant Joan D'Alacant, Spain.
Álvaro Carbonell-SolivaPrimary Care Research Center (CIAP), Miguel Hernández University, Sant Joan d'Alacant, Spain.
Amanda Esquerdo-ArroyoDepartment of Clinical Medicine, Miguel Hernández University (UMH), Sant Joan D'Alacant, Spain.
Avelino Pereira-ExpositoResearch Unit, General University Hospital of Elda, Alicante, Spain.
Silvia Guillen-GarcíaCardiology Section, General University Hospital of Elda, Alicante, Spain.
Vicente ArrarteCardiovascular Research Group (GRINCAVA), Department of Clinical Medicine, Miguel Hernández University of Elche, Alicante, Spain.
Vicente Bertomeu-GonzálezCardiovascular Research Group (GRINCAVA), Department of Clinical Medicine, Miguel Hernández University of Elche, Alicante, Spain.
Andreu NolascoDepartment of Community Nursing, Preventive Medicine, Public Health and History of Science, University of Alicante, San Vicente Del Raspeig, Spain.
Diego Cazorla-MorallónCardiovascular Research Group (GRINCAVA), Department of Clinical Medicine, Miguel Hernández University of Elche, Alicante, Spain.
Julio OsendeClinical Cardiology Unit, HM CIEC, HM Sanchinarro University Hospital, HM Hospitals, Madrid, Spain; HM CIEC, HM Hospitals, Madrid, Spain.
Ricardo Nalda-MolinaSchool of Pharmacy, Miguel Hernández University, San Juan de Alicante, Spain.
Domingo Orozco-BeltránDepartment of Clinical Medicine, Miguel Hernández University (UMH), Sant Joan D'Alacant, Spain.
Concepción Carratalá-MunueraDepartment of Clinical Medicine, Miguel Hernández University (UMH), Sant Joan D'Alacant, Spain.
Vicente Francisco Gil-GuillénDepartment of Clinical Medicine, Miguel Hernández University (UMH), Sant Joan D'Alacant, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: No validated and practical tool exists to assess adherence to statins in secondary prevention of cardiovascular disease. Current reference methods for assessing adherence, including plasma drug measurements, are not feasible for routine clinical care or large clinical trials. Objective: To develop and internally validate a predictive screening instrument for identifying patients at risk of statin non-adherence. Methods: This multicenter cross-sectional study reports the results of the second phase of the GENADHECAR project in four Spanish hospitals. An initial set of 42 adherence-related items was refined and evaluated in a sample of patients with ischemic heart disease. Responses were compared against a pharmacokinetic reference method (plasma statin concentrations) to assess recent medication intake. A multivariate predictive model of non-adherence was then developed, selecting the best predictors and covariates to be included in the final screening instrument. Results: A total of 309 patients were included, of whom 49 (15.9%) were classified as non-adherent according to the pharmacokinetic reference method. The final GENADHECAR screening instrument comprised three questionnaire items (use of reminders, forgetfulness, and medication access) and two sociodemographic variables (sex and educational attainment). Internal bootstrap validation yielded an optimism-corrected AUC of 0.694 (95% CI 0.617-0.767), with adequate calibration (Hosmer-Lemeshow p = 0.994). At the selected probability threshold (0.15), sensitivity was 0.73, specificity 0.61, and positive and negative predictive values were 0.26 and 0.92, respectively. Overall, the model showed moderate discrimination and a high capacity to identify patients at low risk of non-adherence. Conclusion: To our knowledge, GENADHECAR is the first screening instrument with internal validation to identify statin non-adherence using a pharmacokinetic reference method. It offers a brief and practical approach for identifying patients at risk of non-adherence and may help overcome some limitations of conventional self-report methods in this population. Further external validation is needed before routine clinical implementation.

Indexed as

coronary artery diseasedisease managementmedication compliancemedication therapy managementsecondary preventionsex factors

Identifiers

PMID42577685
PMCPMC13454762

What Socratic holds

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Registered trials

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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 Socratic graph.