Evidence map›Paper›PMID 42815355›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Assessing the efficacy of the ESC 2025 guidelines for the management of cardiovascular disease and pregnancy.

Akos Koller, Johanna Takács

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 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

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.

2 · The registry

The trial behind it

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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

2 authors.

Akos KollerDepartment of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary; Research Center for Sports Physiology, Hungarian University of Sports Science, Budapest, Hungary; Institute of Clinical Pathophysiology, Faculty of Medicine, and HUN-REN-SE Cerebrovascular and Neurocognitive Disease Research Group, Semmelweis University, Budapest, Hungary; Department of Cell and Molecular Physiology, New York Medical College, Valhalla, USA. Electronic address: akos.koller@gmail.com.
Johanna TakácsDepartment of Social Sciences, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary. Electronic address: takacs.johanna@semmelweis.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHuman Pregnancy-related Cardiovascular Diseases (CVDs) are unique and difficult to study because of many unknown, potentially harmful effects of medical interventions on the fetus. Because of that, there are only sparse data and mechanisms available, which could provide recommendations with strong evidence for physicians. STUDY

designTo assess the efficacy of the European Society of Cardiology (ESC) 2025 Guidelines for the management of cardiovascular disease and Pregnancy (Pregnancy-GL-2025), we used a previously developed mathematical analytic method.

main outcome measuresA total of 208 Recommendations and Evidence were analyzed, of which 161 Recommendations concern certain CVD. To assess the efficacy, the Certainty/Uncertainty ratio and the Certainty Index (CI, ranging from -1 to +1) were calculated.

resultsIn total, the Pregnancy-GL-2025 showed 64.4% of the Class I and III Recommendations (CVDs, 62.7%). The ESC Pregnancy-GL-2025 includes mostly Evidence C (89.4%) and showed 78.8% Certainty (CI = 0.58). Although it includes only a few higher-quality Evidence, these are related to the Class I Recommendations, resulting in a high level of Certainty.

conclusionsThe mathematical analysis of the ESC Pregnancy-GL-2025 showed that it has several helpful Recommendations, yet they are supported primarily by Evidence C. However, because of a few higher-quality evidence related to Class I Recommendations, the overall efficacy of the guideline was relatively high. In addition, the mathematical analysis used instead of frequency analyses does not imply a lower efficacy of a guideline. Thus, we propose that this type of evaluation of guidelines, as a complementary quantitative approach to describing guidelines' recommendations, can facilitate the development of new guidelines.

Indexed as

CertaintyCertainty IndexPreeclampsiaQuality of evidenceUncertainty

Identifiers

PMID42815355
PMCPMC13657149

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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.