2017 年 43 巻 4 号 p. 201-214
The number and outcome of articles on clinical studies change over time, and reflect the outcome of the studies as shown by meta-analyses. Thus, meta-analyses should be precisely timed. We fragmentally and cross-sectionally assessed articles describing the antihypertensive effects of incretin-related drugs to determine the optimal timing and feasibility of meta-analyses.
We searched PubMed and ICHUSHI Web databases for clinical articles describing the effects of incretin-related drugs on blood pressure, and longitudinally evaluated the number and quality of the articles.
We analyzed 54 English articles published between 2000 and 2015: 79.6% studies were randomized, 42.6% were analyzed in a double-blind comparative manner, and 83.3% described cancelled and dropout cases. The mean Jadad score was 2.7 ± 1.7 (Mean ± SD). The correlation coefficient of the quality and sample size was –0.916.
Our meta-analysis revealed that compared to placebo, liraglutide 1.2 mg, exenatide 5 μg, and liraglutide 1.8 mg reduced systolic blood pressure by –5.38 mmHg, and –5.27 mmHg, and –3.89 mmHg, respectively [95% confidence intervals: –7.91 to –2.84, –9.18 to –1.36, and –6.41 to –1.37 respectively].
The quality level was retained in studies published between 2000 and 2011. Therefore, the quality and quantity may be balanced at the time of the meta-analysis of the first published article. A similar approach may determine the optimal timing of meta-analyses in other fields.