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Record W4399677663 · doi:10.1093/eurjpc/zwae175.276

Feasibility of novel points-based health questionnaire utilised in a nationwide cardiac screening programme for young individuals

2024· article· en· W4399677663 on OpenAlexaff
H Maclachlan, Robert Ambrogetti, Nathaniel Moulson, R Bhatia, Saad Fyyaz, N Chatrath, Emmanuel Androulakis, C Miles, J Basu, Gaetano Finocchiaro, Sabiha Gati, Ashok Malhotra, Sanjay Sharma, James McKinney, M Papadakis

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2024
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicinePalpitationsChest painSudden cardiac deathFamily historyPopulationSudden cardiac arrestEmergency departmentPhysical therapyGold standard (test)Syncope (phonology)Emergency medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Widely used cardiac screening protocols in the United States and the United Kingdom include health questionnaires (HQ) with open-ended questions that require an on-site physician to differentiate between symptoms considered benign from pathological, and in turn limit the number of false-positive referrals. The on-site physician is a costly, limited resource and compromises the cost-effectiveness of the screening protocol which in turn limits its application on a large-population scale. Purpose The points-based Cardiac Risk in the Young - British Columbia health questionnaire (CRY-BC HQ) was designed to be implemented without an on-site physician and provides a quantitative assessment of cardiovascular symptoms (syncope, chest pain, palpitations, and breathlessness). These symptoms are scored independently of one another using negatively and positively-weighted qualifying statements e.g. Syncope: It occurred very soon after standing up from a seated/lying position [scores -1); Syncope: It occurred during exercise and was not related to head trauma [scores +20]. A score over a pre-determined threshold was considered abnormal, warranting secondary evaluation. The family history component screens for inherited cardiac conditions and young sudden cardiac arrest/death, with any positive response to a first-degree relative considered abnormal, warranting secondary evaluation. We evaluated the effectiveness of the CRY-BC HQ by comparing it to a gold standard – a physician’s interpretation of symptoms and family history reported during a clinical consultation at cardiac screening. Methods Over a 6-month period, 10,590 consecutive individuals, aged 14 to 35 years, underwent voluntary cardiac screening as part of Cardiac Risk in the Young's (CRY) nationwide programme. Initial evaluation included the standard CRY HQ (widely used format of questions), 12-lead ECG and a clinical consultation. The consulting physician was blinded to the outcome of the CRY-BC HQ which completed at the same time of the standard CRY HQ. Results A total of 5,916 (56%) individuals reported a cardiovascular symptom and/or family history of heart disease on their HQ which required interpretation by the consulting physician. The CRY-BC HQ outcome matched the consulting physician’s interpretation of symptoms for 10,199 (96%) individuals, and family history for 10,548 (99%) individuals. These figures exceed the pre-determined 95% standard and suggests the CRY-BC HQ performs well compared to CRY’s standard practice. Conclusions A novel points-based HQ performs effectively compared to an on-site physician’s interpretation of symptoms and family history, indicating potentially significant cost savings in the context of mass screening. Cost savings could be used to screen and identify a greater number of individuals with quiescent cardiac disease. Figure 2- Example question: Syncope.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.379
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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