| Literature DB >> 31807385 |
Haisam Abid1, Maryam Khavandi1, Nadir Siddiqui1, Panadeekarn Panjawatanan1, Anush Patel2.
Abstract
Thyroid dysfunction is one of the major side effects associated with Pembrolizumab in the treatment of advanced or metastatic non-small cell lung cancer (NSCLC). We performed a systematic review and meta-analysis of randomized clinical trials to determine its overall incidence. A literature search was conducted using the electronic database engines PubMed and Google Scholar from inception to March 2019. Eligible studies were prospective randomized clinical trials with advanced or metastatic NSCLC. The pooled incidence, risk ratio (RR), and 95% confidence interval (CI) of thyroid dysfunction were calculated using the random-effect model. Given the possibility of a between-study variance, we used the random-effect model rather than the fixed-effect model. A total of four studies, including 1603 patients, were selected for analysis. Among patients receiving Pembrolizumab, the overall incidence of all-grade thyroid dysfunction was 19.8% (95% CI: 16.6-23.3%). Pembrolizumab was associated with a significantly increased risk of thyroid dysfunction of all grades, with a relative risk of 3.9 (95% CI: 2.08-7.42%, p= 0.084) in comparison with the controls. Therefore, there is a significant increase in developing thyroid dysfunction in advanced or metastatic NSCLC patients treated with Pembrolizumab.Entities:
Keywords: incidence; non-small cell lung cancer; pembrolizumab; risk; thyroid dysfunction
Year: 2019 PMID: 31807385 PMCID: PMC6876924 DOI: 10.7759/cureus.5997
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1Outline of our search methodology
Characteristics of studies included in the meta-analysis
| Study included | Primary author | Time period of study | Year of publication | Study design | Study quality |
| 1. | Reck et al. Keynote-024 [ | 2014-2015 | 2016 | Phase 3 Randomized Controlled trial | 5 |
| 2. | Langer et al. Keynote-021 [ | 2014-2016 | 2016 | Phase 2 Randomized Controlled trial | 5 |
| 3. | Gandhi et al. Keynote-189 [ | 2016-2017 | 2018 | Phase 2 Randomized Controlled trial | 5 |
| 4. | Paz-Ares et al. Keynote-407 [ | 2016-2017 | 2018 | Phase 3 Randomized Controlled trial | 5 |
Characteristics of patients in included studies in the meta-analysis
| Study name | Intervention | Number of patients (n) | Mean Age (years) | Male no. (%) | Female no. (%) | Squamous cell carcinoma (n) | Non-squamous cell carcinoma (n) | Smoking status Smoker Non-Smoker | Previous Radiotherapy-n (%) | Previous Chemotherapy-n (%) | |
| Keynote-024 | Pembrolizumab | 154 | 64.5 | 92 (59.7) | 62 (40.3) | 29 (18.8) | 125 (81.2) | 149 (96.8) | 5 (3.2) | Not reported | 9 (5.8) |
| Placebo | 151 | 66 | 95 (62.9) | 57 (27.1) | 27 (17.9) | 124 (82.1) | 132 (87.4) | 19 (12.6) | Not reported | 4 (2.7) | |
| Keynote-021 | Pembrolizumab | 60 | 62.5 | 22 (37%) | 38 (63%) | Not reported | 58 (97%) | 45 (75%) | 15 (25%) | Not reported | 4 (7%) |
| Placebo | 63 | 63.2 | 26 (41%) | 37 (59%) | Not reported | 55 (87%) | 54(86%) | 9 (14%) | Not reported | 5 (8%) | |
| Keynote-189 | Pembrolizumab | 410 | 65 | 254 (62) | 156 (38) | Not reported | 394 (96.1) | 362 (88.3) | 48 (11.7) | 28 (6.8) | 30 (7.3) |
| Placebo | 206 | 63.5 | 109 (52.9) | 97 (47.1) | Not reported | 198 (96.1) | 181 (87.9) | 25 (12.1) | 20 (9.7) | 20 (11.7) | |
| Keynote-407 | Pembrolizumab | 278 | 65 | 220 (79.1) | 58 (20.9) | 272 (97.8) | 6 (2.2) | 257 (92.1) | 22 (7.9) | 17 (6.1) | 5 (1.8) |
| Placebo | 281 | 65 | 235 (83.6) | 46 (16.4) | 274 (97.5) | 7 (2.5) | 262 (93.2) | 19 (6.8) | 22 (7.8) | 8 (2.8) | |
Figure 2Annotated forest plot for meta-analysis of the incidence of thyroid dysfunction in advanced or metastatic non-small cell cancer patients who received Pembrolizumab.
A diamond data marker represents the overall rate from each included study (square data marker) and 95% confidence interval.
Figure 3Relative risk of thyroid dysfunction associated with Pembrolizumab versus control.
The summary relative risks (RR) of thyroid dysfunction were calculated using the random-effects model. RR and 95% confidence intervals for each study and the final combined result are displayed numerically on the left and graphically as a forest plot on the right.