A Negative Finding in an Exercise Test Is Reliable among Elderly People: A Follow-Up Study
Bibliographic record
Abstract
BACKGROUND: Coronary heart disease (CHD) is very common among elderly people. OBJECTIVE: To specify the diagnostic value of bicycle exercise tests conducted for elderly patients by trained general practitioners in primary health care. METHODS: We performed a 2-year follow-up study at the Kangasala Health Centre, Finland. The study population comprised all patients at least 60 years old (n = 311) suspected of having CHD without prior diagnosis who were examined by an exercise test carried out by trained general practitioners during a period of 3 years. Specificity and sensitivity as well as positive and negative predictive values of the tests were calculated based on whether or not the participants had a diagnosis of CHD by the end of the follow-up period. The numbers of patients referred for coronary angiography and bypass operation were registered. For analysis, the patients were divided into two age categories: 60-69 years and >or=70 years. RESULTS: A negative finding in the test proved very reliable: CHD manifested in only 3% of these cases in both age groups. The specificity of the test was 72% in the group 60-69 years and 66% in the group >or=70 years; the sensitivity values were 81 and 67%, respectively. The positive predictive values were 26 and 12%, the negative predictive value was 97% in both age groups. 1 in 4 patients yielding a positive finding eventually underwent coronary angiography and 1 in 6 patients coronary bypass surgery. CONCLUSIONS: Exercise tests may predict the clinical outcome of CHD among elderly patients. A negative finding in an exercise test is very reliable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".