Evidence map›Paper›PMID 42688789›Full record

SynthesisFrontiers in cardiovascular medicine2026

Time-dynamic perspectives on cancer therapy-related cardiotoxicity: a systematic review and time-course evidence synthesis for multibiomarker monitoring.

Chang Su, Siyuan Wan, Menghan Shen, Shun Zhang, Meijun Jia, Yili Yao, Yabin Gong, Qian Ba, Chengzeng Yao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chang SuDepartment of Cardiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Siyuan WanDepartment of Cardiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Menghan ShenDepartment of Cardiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shun ZhangDepartment of Cardiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Meijun JiaDepartment of Cardiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yili YaoDepartment of Cardiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yabin GongYueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Qian BaScience and Technology Innovation Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Chengzeng YaoDepartment of Cardiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Current monitoring of cancer therapy-related cardiac dysfunction relies largely on threshold-based interpretation at isolated time points, yet its temporal evolution remains insufficiently characterized. This review aims to map longitudinal monitoring evidence across treatments, biomarkers, and time windows; reconstruct trajectories of key biochemical and imaging markers in evidence-rich settings; and explore temporal patterns between biochemical injury signals and imaging-detected functional changes. Methods: PubMed and Embase were searched from inception to 1 October 2025. A three-dimensional evidence map was constructed across treatment modality, monitoring marker, and time window using a custom four-level evidence grading system based on data completeness and extractability. Quantitative synthesis was restricted to cohorts providing extractable longitudinal absolute values at mappable follow-up times in non-outcome-driven designs. Standardized trajectories of hs-cTnI/T, NT-proBNP, left ventricular ejection fraction (LVEF), and global longitudinal strain (GLS) were aggregated within predefined time windows. Results: Forty-six independent cohorts yielded 387 raw longitudinal observations; after harmonization and representative-value selection, 173 effect rows from 31 analytic study IDs (29 primary reports) contributed to the trajectory synthesis. Evidence was concentrated in anthracycline-based and anthracycline plus concurrent/sequential HER2 inhibitor settings, whereas data on immune checkpoint inhibitor (ICI) therapy, vascular endothelial growth factor receptor tyrosine kinase inhibitor (VEGF-TKI) therapy, and the biomarkers sST2 and GDF-15 were sparse. In evidence-rich settings, hs-cTnI tended to show early elevations (D0-M3), while more pronounced declines in LVEF and GLS were observed mainly after M3. Because estimates were derived from aggregated study-level data, this ordering is descriptive and hypothesis-generating rather than evidence of within-patient temporal precedence. Under anthracycline plus concurrent/sequential HER2 inhibitor exposure, hs-cTnI elevations and later imaging declines were greater in the available windows; data beyond 12 months were sparse, making the apparent absence of recovery provisional. Conclusion: This review provides a unified time-window framework for multimarker longitudinal evidence across anticancer treatment settings, identifies critical evidence gaps, and describes an exploratory temporal pattern that may inform hypotheses about stage-specific monitoring in evidence-rich settings. Patient-level longitudinal studies are required before any monitoring schedule can be validated. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD420261367699, PROSPERO CRD420261367699.

Indexed as

anthracyclinesbiomarkerscardio-oncologycardiotoxicity monitoringevidence mappingHER2 inhibitorstime-course evidence synthesis

Identifiers

PMID42688789
PMCPMC13535290

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.