Tissue doppler evaluation of systolic and diastolic cardiac functions in long‐term survivors of Hodgkin lymphoma
Bibliographic record
Abstract
BACKGROUND: Monitoring for late adverse events is crucial in long-term management of childhood cancer survivors. A case-control study to evaluate long-term cardiovascular status of childhood Hodgkin lymphoma (HL) using tissue Doppler imaging (TDI) was performed. PATIENTS AND METHODS: Patients diagnosed with HL before age of 18 that completed therapy and were in remission and a control group of healthy children were evaluated by echocardiography and TDI. RESULTS: Total of 72 HL survivors were included in the study. Median age at diagnosis, remission time, and age at time of echocardiography were 7 (2-16), 9 (2-20), and 17.5 (7-27) years, respectively. TDI revealed decreased S' velocity, reflecting systolic dysfunction in HL survivors, at medial and lateral mitral annuli and at middle segment of interventricular septum (IVS; P < 0.01) for all. Moreover, TDI showed decreased peak E' velocity at medial mitral annulus [12.4 cm/s (5.5-16.3) vs. 13.3 cm/s (10.2-18.9), P = 0.03] and at middle segment of IVS [10 cm/s (5.3-16.3) vs. 11.6 cm/s (6.7-16.7), P < 0.01] and prolongation of isovolemic relaxation time at medial and lateral annuli of the mitral valve (P < 0.01) and at middle segment of IVS (P = 0.03) suggesting diastolic dysfunction in HL survivors. CONCLUSION: Cardiac dysfunction after childhood cancer therapy may develop after many years. Since systolic and diastolic dysfunction can be seen in these patients periodic echocardiographic screening of both systolic and diastolic function in the survivors of HL might be useful in the follow-up of these patients.
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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 | 0.000 | 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) | 0.000 | 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 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".