Literature DB >> 26113357

Surgery induced hypopituitarism in acromegalic patients: a systematic review and meta-analysis of the results.

Pedro Carvalho1, Eva Lau2,3,4, Davide Carvalho2,3,4.   

Abstract

PURPOSE: Hypopituitarism is a possible complication of the surgical treatment of acromegaly. However, there is a wide variability in the incidence rates of surgery-induced hypopituitarism. The purpose of this study was the systematic collection and synthesis of information on the incidence rates of hypopituitarism, panhypopituitarism, specific axis deficiencies and diabetes insipidus after surgery for acromegaly treatment.
METHODS: We systematically reviewed all the papers that have reported pituitary deficits after surgery for acromegaly published up until December 2014, in the PubMed database. We identified 92 studies enrolling 6988 patients. A meta-analysis was performed to evaluate the incidence rates. We also performed several subgroup analyses to evaluate the impact of both surgical technique, and treatment prior to surgery, on the results.
RESULTS: The weighted incidence rates were 12.79 % for hypopituitarism (95 % CI 9.88-16.00 %), 2.50 % for panhypopituitarism (95 % CI 1.24-4.15 %), 6.50 % for ACTH deficiency (95 % CI 4.07-9.44 %), 4.39 % for TSH deficiency (95 % CI 2.99-6.04 %), 6.70 % for FSH/LH deficiency (95 % CI 3.89-10.17 %), 14.95 % for GH deficiency (95 % CI 7.25-24.64 %), 10.05 % for transient (95 % CI 7.18-13.33 %) and 2.42 % for permanent diabetes insipidus (95 % CI 1.70-3.27 %).
CONCLUSION: Our study provides new data on the incidence rates of hypopituitarism, specific pituitary axis deficiencies and diabetes insipidus after surgical treatment of acromegaly. Somatotroph function appears to be more prone to deficit than the other axes. However, there is a high heterogeneity between studies and several factors may influence the incidence of hypopituitarism.

Entities:  

Keywords:  Acromegaly; Diabetes insipidus; Hypopituitarism; Surgery; Transsphenoidal

Mesh:

Year:  2015        PMID: 26113357     DOI: 10.1007/s11102-015-0661-6

Source DB:  PubMed          Journal:  Pituitary        ISSN: 1386-341X            Impact factor:   4.107


  117 in total

1.  Transsphenoidal surgery for acromegaly in wales: results based on stringent criteria of remission.

Authors:  P De; D A Rees; N Davies; R John; J Neal; R G Mills; J Vafidis; J S Davies; M F Scanlon
Journal:  J Clin Endocrinol Metab       Date:  2003-08       Impact factor: 5.958

2.  Transsphenoidal microhypophysectomy in acromegaly.

Authors:  H S U; C B Wilson; J B Tyrrell
Journal:  J Neurosurg       Date:  1977-12       Impact factor: 5.115

Review 3.  Hypopituitarism and central diabetes insipidus: perioperative diagnosis and management.

Authors:  Jessica K Devin
Journal:  Neurosurg Clin N Am       Date:  2012-07-31       Impact factor: 2.509

4.  The diagnosis of growth hormone deficiency (GHD) in successfully treated acromegalic patients.

Authors:  R D Murray; S R Peacey; A Rahim; A A Toogood; M O Thorner; S M Shalet
Journal:  Clin Endocrinol (Oxf)       Date:  2001-01       Impact factor: 3.478

5.  Transsphenoidal surgery for acromegaly--long-term results in 100 patients.

Authors:  F Grisoli; T Leclercq; P Jaquet; M Guibout; J P Winteler; J Hassoun; F Vincentelli
Journal:  Surg Neurol       Date:  1985-05

6.  GH deficiency in patients after cure of acromegaly by surgery alone.

Authors:  Shozo Yamada; Noriaki Fukuhara; Hiroshi Nishioka; Akira Takeshita; Hisanori Suzuki; Megumi Miyakawa; Yasuhiro Takeuchi
Journal:  Eur J Endocrinol       Date:  2011-09-30       Impact factor: 6.664

7.  Outcome of multimodal therapy in operated acromegalic patients, a study in 115 patients.

Authors:  Frédérique Albarel; Frédéric Castinetti; Isabelle Morange; Bernard Conte-Devolx; Jean Gaudart; Henry Dufour; Thierry Brue
Journal:  Clin Endocrinol (Oxf)       Date:  2013-02       Impact factor: 3.478

8.  Impact of successful transsphenoidal surgery on cardiovascular risk factors in acromegaly.

Authors:  Marie-Lise Jaffrain-Rea; Giuseppe Minniti; Carlo Moroni; Vincenzo Esposito; Elisabetta Ferretti; Antonio Santoro; Tommaso Infusino; Guido Tamburrano; Giampaolo Cantore; Rosario Cassone
Journal:  Eur J Endocrinol       Date:  2003-02       Impact factor: 6.664

9.  Diagnostic features and outcome of surgical therapy of acromegalic patients: experience of the last three decades.

Authors:  Elisa Sala; Emanuele Ferrante; Marco Locatelli; Paolo Rampini; Giovanna Mantovani; Claudia Giavoli; Marcello Filopanti; Elisa Verrua; Elenan Malchiodi; Giorgio Carrabba; Maura Arosio; Paolo Beck-Peccoz; Anna Spada; Andrea Gerardo Lania
Journal:  Hormones (Athens)       Date:  2014 Jan-Mar       Impact factor: 2.885

10.  Long-term mortality after transsphenoidal surgery and adjunctive therapy for acromegaly.

Authors:  B Swearingen; F G Barker; L Katznelson; B M Biller; S Grinspoon; A Klibanski; N Moayeri; P M Black; N T Zervas
Journal:  J Clin Endocrinol Metab       Date:  1998-10       Impact factor: 5.958

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  4 in total

Review 1.  Complications of acromegaly: thyroid and colon.

Authors:  Amit Tirosh; Ilan Shimon
Journal:  Pituitary       Date:  2017-02       Impact factor: 4.107

Review 2.  [Diagnostics and treatment of acromegaly : Necessity for targeted monitoring of comorbidities].

Authors:  S Petersenn; M Christ-Crain; M Droste; R Finke; J Flitsch; I Kreitschmann-Andermahr; A Luger; J Schopohl; G Stalla
Journal:  Internist (Berl)       Date:  2017-11       Impact factor: 0.743

Review 3.  Challenges in the diagnosis and management of acromegaly: a focus on comorbidities.

Authors:  Alin Abreu; Alejandro Pinzón Tovar; Rafael Castellanos; Alex Valenzuela; Claudia Milena Gómez Giraldo; Alejandro Castellanos Pinedo; Doly Pantoja Guerrero; Carlos Alfonso Builes Barrera; Humberto Ignacio Franco; Antônio Ribeiro-Oliveira; Lucio Vilar; Raquel S Jallad; Felipe Gaia Duarte; Mônica Gadelha; Cesar Luiz Boguszewski; Julio Abucham; Luciana A Naves; Nina Rosa C Musolino; Maria Estela Justamante de Faria; Ciliana Rossato; Marcello D Bronstein
Journal:  Pituitary       Date:  2016-08       Impact factor: 4.107

4.  Machine-Learning Prediction of Postoperative Pituitary Hormonal Outcomes in Nonfunctioning Pituitary Adenomas: A Multicenter Study.

Authors:  Yi Fang; He Wang; Ming Feng; Wentai Zhang; Lei Cao; Chenyu Ding; Hongjie Chen; Liangfeng Wei; Shuwen Mu; Zhijie Pei; Jun Li; Heng Zhang; Renzhi Wang; Shousen Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-07       Impact factor: 5.555

  4 in total

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