SynthesisBMJ open2023
Diagnostic accuracy of heart auscultation for detecting valve disease: a systematic review.
Synthesis in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07339007 (Observational Study to Validate a Family Physician Echocardiography Training Programme), which is not on this map. Cited by 23 papers.
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.
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.
Observational Study to Validate a Family Physician Echocardiography Training Programme
Who cites it
23 citing papers in PubMed, 28 citations in OpenAlex.
- Predictors of echocardiographic abnormalities in asymptomatic individuals with increased cardiothoracic ratio detected on chest radiography.American heart journal plus : cardiology research and practice · 2026Article
- Diagnostic accuracy and clinical impact of internist-performed point-of-care ultrasound in atrial fibrillation: a multicenter study.Internal and emergency medicine · 2026Article
- Article
- Repeat community-based screening for school-age congenital heart disease: impact on the detection of cases requiring treatment in resource-limited settings.World journal of pediatrics : WJP · 2026Article
- Artificial Intelligence-Enhanced Cardiac Point-of-Care Ultrasound: A Prospective Single-Arm Study.Mayo Clinic proceedings. Digital health · 2026Article
- Emerging Artificial Intelligence Tools for the Screening of Structural and Valvular Heart Disease.Current heart failure reports · 2026Review
- Advancing Point-of-Care Still's Murmur Identification: Evaluating the Efficacy of ConvNets and Transformers Using the StethAid Multicenter Heart Sound Database.IEEE transactions on bio-medical engineering · 2026Article
- Severe aortic stenosis detection using seismocardiography.Open heart · 2026Article
- Feasibility of detecting aortic stenosis with mobile phone auscultation data: a pilot study.Frontiers in cardiovascular medicine · 2026Article
- Heart murmurs in the general population: diagnostic value and prevalence from the Tromsø Study.Heart (British Cardiac Society) · 2025Article
- Diagnostic Accuracy of AI-Assisted Focused Cardiac Ultrasound (FOCUS) in Primary Care.Healthcare (Basel, Switzerland) · 2025Article
- Clinical Characteristics and Outcomes of a Cohort of Multiethnic Asian Patients with Cardiac Myxoma.Scientific reports · 2025Article
- Deep learning for atrioventricular regurgitation diagnosis: an external validation study.European heart journal. Digital health · 2025Article
- Double-Outlet Right Ventricular Malformation in a Two-Year-Old Aberdeen Angus Cow.Animals : an open access journal from MDPI · 2025Article
- Article
- How Cardiovascular Physical Examination Impacts Clinical Decision-Making in Various Scenarios of Cardiac Valvular Diseases.Arquivos brasileiros de cardiologia · 2025Article
- Artificial intelligence assessment of valvular disease and ventricular function by a single echocardiography view.Frontiers in digital health · 2025Article
- A survey of UK-based screening and surveillance practices for carcinoid heart disease in patients with neuroendocrine tumours.Endocrine oncology (Bristol, England) · 2025Article
- Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning.Health information science and systems · 2024Article
- A Noise-Robust Heart Sound Segmentation Algorithm Based on Shannon Energy.IEEE access : practical innovations, open solutions · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe objective of this study was to determine the diagnostic accuracy in detecting valvular heart disease (VHD) by heart auscultation, performed by medical doctors. DESIGN/
methodsA systematic literature search for diagnostic studies comparing heart auscultation to echocardiography or angiography, to evaluate VHD in adults, was performed in MEDLINE (1947-November 2021) and EMBASE (1947-November 2021). Two reviewers screened all references by title and abstract, to select studies to be included. Disagreements were resolved by consensus meetings. Reference lists of included studies were also screened. The results are presented as a narrative synthesis, and risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies-2.
main outcome measuresSensitivity, specificity and likelihood ratios (LRs).
resultsWe found 23 articles meeting the inclusion criteria. Auscultation was compared with full echocardiography in 15 of the articles; pulsed Doppler was used as reference standard in 2 articles, while aortography and ventriculography was used in 5 articles. One article used point-of-care ultrasound. The articles were published from year 1967 to 2021. Sensitivity of auscultation ranged from 30% to 100%, and specificity ranged from 28% to 100%. LRs ranged from 1.35 to 26. Most of the included studies used cardiologists or internal medicine residents or specialists as auscultators, whereas two used general practitioners and two studied several different auscultators.
conclusionSensitivity, specificity and LRs of auscultation varied considerably across the different studies. There is a sparsity of data from general practice, where auscultation of the heart is usually one of the main methods for detecting VHD. Based on this review, the diagnostic utility of auscultation is unclear and medical doctors should not rely too much on auscultation alone. More research is needed on how auscultation, together with other clinical findings and history, can be used to distinguish patients with VHD. PROSPERO REGISTRATION NUMBER: CRD42018091675.
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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.