Time-Dependent Effect Of Anthracycline-Based Chemotherapy On Central Arterial Stiffness: A Systematic Review And Meta-Analysis
Bibliographic record
Abstract
Abstract Background and AimsAnthracycline-based chemotherapy (Anth-bc) has been proposed to increase arterial stiffness, however, the time-dependency of these effects remain unclear. This systematic review and meta-analysis aimed to investigate the time-dependent effect of Anth-bc on markers of central aortic stiffness, namely aortic distensibility (AD) and pulse-wave-velocity (PWV) in cancer patients.Methods An extensive literature search without language restrictions was performed to identify all studies presenting longitudinal data on the effect of Anth-bc on either AD and/or central PWV in cancer patients of all ages. An inverse-variance weighted random-effect model was performed with differences from before to after chemotherapy, as well as for short vs. mid-term effects. ResultsOf 1811 articles identified, 6 observational studies with a total of 282 patients (median age 51±11; 70% women) were included, of which four studies measured AD and five PWV. Short-term (3-4 months), there was a clinically meaningful increase in arterial stiffness, namely an increase in PWV of 4.21 m/s (95%CI -0.19; 8.61) and a decrease in AD of -1.49 mmHg-1 (-3.25; 0.27) but a much smaller effect was observed mid-term (6-12 months) for PWV of 1.05 m/s (-1.45; 3.55) and AD of -0.37 mmHg-1 (-1.13; 0.39). There was considerable heterogeneity among the studies.ConclusionsResults from this analysis suggest that in the short-term, Anth-bc increases arterial stiffness, but that these changes may partly be reversible after therapy termination. Future studies need to elucidate the long-term consequences of Anth-bc on arterial stiffness, by performing repeated follow-up measurements after Anth-bc termination.
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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.029 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".