Zhang Fangfang, Huang Yinxing, Ding Chenyu, Huang Guoliang, Wang Shousen
Department of Endocrinology, First Hospital of Fuzhou Affiliated to Fujian Medical University Fuzhou 350009, China.
Department of Neurosurgery, Fuzhou General Hospital of Nanjing Command, PLA Fuzhou 350025, China.
Int J Clin Exp Med. 2015 Oct 15;8(10):18990-7. eCollection 2015.
The prevalence of hyperprolactinemia in non-functioning pituitary macroadenomas (NFPMAs) is not well known, and hyperprolactinemia caused by a NFPMA is currently associated with diagnostic uncertainty. Thus, the aim of this study was to evaluate the prevalence of hyperprolactinemia in NFPMAs.
A meta-analysis of all existing articles in PubMed was conducted. The search string was designed as "(non-functioning pituitary tumor OR non-functioning pituitary tumor OR non-functioning pituitary macroadenomas OR non-functioning pituitary macroadenomas OR non-functioning pituitary adenomas OR non-functioning pituitary adenomas) and hyperprolactinemia". References of the articles found were also reviewed. Study selection and data extraction were performed independently by two reviewers. Data were analyzed with STATA 11.0 software (StataCorp LP, USA). The fixed effects model was used to evaluate these studies.
The search identified 57 published studies, seven of which were accepted for the final meta-analysis. The authors found an overall estimated 40.2% prevalence of (95% CI, 36.6%-43.7%) hyperprolactinemia in NFPMAs.
Given the high frequency of hyperprolactinemia in NFPMAs, a diagnosis of NFPMA or prolactinoma should be made more carefully.
无功能垂体大腺瘤（NFPMAs）中高泌乳素血症的患病率尚不清楚，且由NFPMAs引起的高泌乳素血症目前与诊断不确定性相关。因此，本研究的目的是评估NFPMAs中高泌乳素血症的患病率。
对PubMed中所有现有文章进行荟萃分析。搜索词设计为“（无功能垂体瘤或无功能垂体肿瘤或无功能垂体大腺瘤或无功能垂体大腺瘤或无功能垂体腺瘤或无功能垂体腺瘤）和高泌乳素血症”。还对所发现文章的参考文献进行了审查。研究选择和数据提取由两名审阅者独立进行。使用STATA 11.0软件（美国StataCorp LP公司）进行数据分析。采用固定效应模型对这些研究进行评估。
检索到57项已发表的研究，其中7项被纳入最终的荟萃分析。作者发现NFPMAs中高泌乳素血症的总体估计患病率为40.2%（95%可信区间，36.6%-43.7%）。
鉴于NFPMAs中高泌乳素血症的发生率较高，对NFPMAs或泌乳素瘤的诊断应更加谨慎。
