Incidence of interstitial lung disease and cardiotoxicity with trastuzumab deruxtecan in breast cancer patients: A systematic review and single-arm meta-analysis
Bibliographic record
Abstract
Objective: We performed a systematic review and meta-analysis to assess the incidence and severity of those adverse events (AEs) in metastatic breast cancer (mBC) patients treated with trastuzumab deruxtecan (T-DXd). Methodology: We comprehensively searched PubMed, Cochrane, and Scopus databases for randomized clinical trials (RCTs) and observational cohort studies, including mBC patients with HER2-low or -positive expression who have received at least one dose of T-DXd. The DESTINY-Breast02 study was also included after its presentation at the SABCS 2022. Our meta-analysis followed the Cochrane Reviews and PRISMA statement guidelines. The statistical analysis was performed using the R software, and the results are presented as pooled analysis in forest plots. Results: We included nine studies: three phase III RCTs, three phase II and two phase I non-RCTs, and one retrospective cohort comprising 1,443 patients with a mean follow-up of 14.9 months. The median age of our population ranged from 53 to 59 years. Most were non-Asian (40.5%) and presented with hormone-receptor-positive mBC (66.8%). In a pooled analysis, the incidence of ILD was 13.0% (179 patients; 95%CI 11.0–13.0). Patients enrolled in phase III clinical trials had an ILD rate of 12.0%, while the observational cohort reported a numerically higher rate of 18.0%. Most ILD cases, 84.9% (152 patients), were mild (grade 1 or 2). Grade 3 or 4 AEs were reported in 13 (7.3%) patients, and grade 5 in 14 (7.8%) patients. We assessed cardiotoxicity by the reduction of left ventricular ejection fraction (LVEF) compared with baseline measures. Decreased LVEF was seen in 3.6% (95%CI 3.0–5.0%), and most patients were asymptomatic. A total of 11 patients developed prolonged QT interval, and four had left ventricular dysfunction and cardiac failure. Conclusion: Our meta-analysis reinforces the importance of close vigilance for pulmonary and cardiac toxicities in mBC patients on treatment with T-DXd. Early detection and management by a multidisciplinary team following the most recent guidelines may improve patient outcomes.
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 | 0.014 | 0.028 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.048 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".