The DOI matches its Crossref record.
Risk stratification with low-level exercise testing 2 weeks after acute myocardial infarction.
Open accessAbstract
We enrolled 250 patients with acute myocardial infarction after they had been discharged from the cardiac intensive care unit. Among 236 patients who performed a low-level exercise test just before hospital discharge, 52 (22%) had exercise-induced ST depression of at least 0.1 mV in ECG lead V5, 102 (43%) had ventricular arrhythmias, and 121 (51%) had an exercise capacity of shorter than 6 minutes. We used multiple logistic regression analysis to investigate the association of exercise variables with 1-year cardiac mortality. Exercise duration and ventricular premature depolarizations (VPDs) were significantly associated with 1-year mortality after acute myocardial infarction, both with and without control of the influence of other exercise variables statistically; the association of exercise-induced ST depression with 1-year cardiac mortality was not statistically significant. Standardized regression coefficients showed that the variables ranked in the following order in terms of predictive value: exercise duration, VPD frequency and ST depression. Jackknife techniques showed that multiple logistic regression using the three exercise variables was highly accurate in predicting 1-year mortality.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Kleiger, R. E., Miller, J. P., Bigger, J. T., & Moss, A. J. (1987) · The American Journal of Cardiology · doi:10.1016/0002-9149(87)90795-8 · Cited by 3,995
Self-citation
Metadata
- Authors
- Weld, F. M., Chu, K. L., Bigger, J. T., & Rolnitzky, L. M.
- Venue
- Circulation
- Published
- 1981-08
- Volume
- 64
- Issue
- 2
- Pages
- 306-314
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2072670056
- Cited by
- 203
- References
- 0
- FWCI
- 14.13
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Risk stratification with low-level exercise testing 2 weeks after acute myocardial infarction. https://app.cochat.ai/papers/10.1161/01.cir.64.2.306
- The paper
- Weld, F. M., Chu, K. L., Bigger, J. T., & Rolnitzky, L. M. (1981). Risk stratification with low-level exercise testing 2 weeks after acute myocardial infarction. Circulation. https://doi.org/10.1161/01.cir.64.2.306
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.