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Alessia Cozzolino, Tiziana Feola, Ilaria Simonelli, Giulia Puliani, Valeria Hasenmajer, Marianna Minnetti, Elisa Giannetta, Daniele Gianfrilli, Patrizio Pasqualetti, Andrea Lenzi, and Andrea M Isidori


Neurosurgery is the first-line treatment for acromegaly. Whether metabolic disorders are reversible after neurosurgery is still debated. The meta-analysis aimed to address the following questions: (i) Does neurosurgery affect glycolipid metabolism? (ii) Are these effects related to disease control or follow-up length?


A meta-analysis and systematic review of the literature.


Three reviewers searched databases until August 2019 for prospective trials reporting glycometabolic outcomes after neurosurgery. Three other extracted outcomes, all assessed the risk of bias.


Twenty studies were included. Neurosurgery significantly reduced fasting plasma glucose (FPG) (effect size (ES): −0.57 mmol/L, 95% CI: −0.82 to −0.31; P < 0.001), glucose load (ES: −1.10 mmol/L, 95% CI: −1.66 to −0.53; P < 0.001), glycosylated haemoglobin (HbA1c) (ES: −0.28%, 95% CI: −0.42 to −0.14; P < 0.001), fasting plasma insulin (FPI) (ES: −10.53 mU/L, 95% CI: −14.54 to −6.51; P < 0.001), homeostatic model assessment of insulin resistance (HOMA-IR) (ES: −1.98, 95% CI: −3.24 to −0.72; P = 0.002), triglycerides (TGDs) (ES: −0.28 mmol/L, 95% CI: −0.36 to −0.20; P < 0.001) and LDL-cholesterol (LDLC) (ES: −0.23 mmol/L, 95% CI: −0.45 to −0.02 mmol/L); P = 0.030) and increased HDL-cholesterol (HDLC) (ES: 0.21 mmol/L, 95% CI: 0.14 to 0.28; P < 0.001). Meta-regression analysis showed that follow-up length – not disease control – had a significant effect on FPG, with the greatest reduction in the shortest follow-up (beta = 0.012, s.e. = 0.003; P = 0.001).


Neurosurgery improves metabolism with a significant decrease in FPG, glucose load, HbA1c, FPI, HOMA-IR, TGDs, and LDLC and increase in HDLC. The effect on FPG seems to be more related to follow-up length than to disease control.

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Salvatore Crisafulli, Nicoletta Luxi, Janet Sultana, Andrea Fontana, Federica Spagnolo, Giuseppe Giuffrida, Francesco Ferrau, Daniele Gianfrilli, Alessia Cozzolino, Maria Cristina De Martino, Federico Gatto, Francesco Barone-Adesi, Salvatore Cannavò, and Gianluca Trifirò

Objective: To date, no systematic reviews and meta-analysis on the global epidemiology of acromegaly are available in literature. The aims of this study are to provide a systematic review and a meta-analysis of the global epidemiology of acromegaly and to evaluate the quality of study reporting for the identified studies.

Methods: MEDLINE, EMBASE and The Cochrane Library databases were searched for studies assessing the epidemiology of acromegaly from inception until 31st January 2020. We included original observational studies written in English, reporting acromegaly prevalence and/or incidence for a well-defined geographic area. Two reviewers independently extracted data and performed quality assessments. Prevalence and incidence pooled estimates were derived performing a random-effects meta-analysis.

Results: A total of 32 studies were included in the systematic review, and 22 of them were included in the meta-analysis. The pooled prevalence of acromegaly was 5.9 (95%CI: 4.4-7.9) per 100,000 persons, while the incidence rate (IR) was 0.38 (95%CI: 0.32-0.44) cases per 100,000 person-years. For both prevalence and IR, a considerable between-study heterogeneity was found (I2= 99.3% and 86.0%, respectively). The quality of study reporting was rated as medium for 20 studies and low for 12 studies.

Conclusions: Although the largest amount of heterogeneity was due to the high precision of the studies’ estimates, data source and geographic area could represent relevant study-levels factors which could explain about 50% of the total between-study variability. Large-scale high quality studies on the epidemiology of acromegaly are warranted to help the public health system in making decisions.