Usefulness of standardized, questionnaire-based history evaluation in the diagnosis of syncope
Bibliographic record
Abstract
The aim of our study was evaluation of clinical usefulness of standardized, questionnaire-based history evaluation in the diagnosis of syncope in patients admitted to Syncopal Unit. We observed 920 consecutive pts with syncope (552 women, 60%, aged 12-89 yrs, median of age 41 yrs), diagnosed in our Syncopal Unit of our Department during last 3 years. In all patients a of standardized questionnaire for history evaluation (SQfHE) was used during initial evaluation together with physical examination, ECG evaluation, orthostatic BP measurement and carotid sinus massage in pts over 40 years of age. This questionnaire included question regarding circumstances of syncopal episodes, evaluation of prodroms and syncope course according to last ESC guidelines for diagnosis and treatment of syncope. Calgary Syncope Symptom Score (CSSS) proposed by Sheldon as well as OESIL Score (OS) were implemented into SQfHE. If CSSS was -2 or more reflex syncope was diagnosed or suspected – if concomitant disorders were presented. If OS was higher than 0 - additional diagnosis was performed. Results: Based on initial evaluation diagnosis of syncope was done in 42,4% of pts, Suspected diagnosis of syncope was made in further 39,6% of pts. Only 18% of patient had no established the reason of syncope based on initial evaluation. Hospitalization rate, longer than 1 day was 8,2% Conclusions: Standardized, questionnaire-based history evaluation is very useful in the diagnosis of patients with syncope admitted to Syncopal Unit. Standardized, questionnaire-based history evaluation allow to make diagnosis, based only on initial evaluation in over 40% of patients The ratio of undiagnosed syncope based on initial evaluation was only 18% – in these patients the additional diagnosis was performed Standardized, questionnaire-based history evaluation is also useful in limitation of hospitalization rate needed for diagnosis of patients with syncope
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".