Three Dimensional Speckle Tracking Echocardiography in Hemodialysis Patients
Bibliographic record
Abstract
BACKGROUND: It has been suggested that ventricular strain measurements may be impaired in chronic hemodialysis patients despite having no history of heart disease. The aim of this study is to investigate whether ventricular strain parameters can be used to detect subclinical cardiac dysfunction in hemodialysis patients. METHODS: In our study, 47 patients under the age of 65 years with no known history of cardiac or valvular disease and receiving chronic hemodialysis treatment for at least 1 year were compared with an age- and sex-matched control group of 29 healthy individuals. Transthoracic echocardiography was used to evaluate parameters such as global longitudinal strain, right ventricular global longitudinal strain, and left ventricular diastolic diameter. Differences between groups were analyzed by Student's t-test and Mann-Whitney U test. RESULTS: The global longitudinal strain values of the hemodialysis group were significantly lower than those of the control group (-13.2 ± 3.91 vs. -22.1 ± 1.59, p < 0.001). Right ventricular global longitudinal strain (RV GLS) and left ventricular diastolic diameter were also significantly impaired in the hemodialysis group (p < 0.05). These results indicate the presence of subclinical cardiac dysfunction in hemodialysis patients. CONCLUSIONS: Ventricular strain measurements may be impaired in chronic hemodialysis patients without a history of cardiovascular disease. Therefore, it is considered that ventricular strain measurements can be a useful method for the early detection of cardiac dysfunction in hemodialysis patients.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".