Sustained Increases in IGFBP-7 May Be Related to Doxorubicin in Breast Cancer Patients
Bibliographic record
Abstract
Insulin-like growth factor-binding protein-7 (IGFBP-7) is involved in cell senescence, and higher IGFBP-7 levels are associated with impaired myocardial compliance and diastolic dysfunction in patients with heart failure (HF) (1).However, the role of IGFBP-7 in cardio-oncology remains uncertain.We examined associations between changes in IGFBP-7 levels and echocardiographic measures of diastolic function in breast cancer patients receiving doxorubicin with or without trastuzumab.The Penn Cardiotoxicity of Cancer Therapy Study (NCT01173341) is a prospective longitudinal cohort of breast cancer patients from the Rena Rowan Breast Center of the Abramson Cancer Center at the University of Pennsylvania (Philadelphia, Pennsylvania).Details of the study design, population, and procedures have been described elsewhere (2).The study was approved by the local institutional review board.All patients provided written informed consent.Plasma IGFBP-7 was measured with the use of a precommercial COBAS Elecsys assay (Roche Diagnostics).The IGFBP-7 assay has a coefficient of variation (CV) of intra-assay precision <3% and interassay precision <6%.Quantitative echocardiography was performed by a sonographer blinded to patient clinical characteristics at the Penn Center for Quantitative Echocardiography (Philadelphia, Pennsylvania) with the use of TomTec Imaging Systems.Associations between baseline clinical variables and IGFBP-7 levels were evaluated by means of linear regression.Estimates of the mean (95% confidence interval [CI]) change from baseline, determined by means of repeated-measures linear regression via generalized estimating equations (GEE), were plotted over time to characterize changes in IGFBP-7 levels following doxorubicin initiation.Associations between changes in IGFBP-7 levels and echocardiographic diastolic function measures were determined with the use of repeated-measures linear regression via GEE.IGFBP-7
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".