IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0180911.html
   My bibliography  Save this article

Pancreatic size and fat content in diabetes: A systematic review and meta-analysis of imaging studies

Author

Listed:
  • Tiago Severo Garcia
  • Tatiana Helena Rech
  • Cristiane Bauermann Leitão

Abstract

Objectives: Imaging studies are expected to produce reliable information regarding the size and fat content of the pancreas. However, the available studies have produced inconclusive results. The aim of this study was to perform a systematic review and meta-analysis of imaging studies assessing pancreas size and fat content in patients with type 1 diabetes (T1DM) and type 2 diabetes (T2DM). Methods: Medline and Embase databases were performed. Studies evaluating pancreatic size (diameter, area or volume) and/or fat content by ultrasound, computed tomography, or magnetic resonance imaging in patients with T1DM and/or T2DM as compared to healthy controls were selected. Seventeen studies including 3,403 subjects (284 T1DM patients, 1,139 T2DM patients, and 1,980 control subjects) were selected for meta-analyses. Pancreas diameter, area, volume, density, and fat percentage were evaluated. Results: Pancreatic volume was reduced in T1DM and T2DM vs. controls (T1DM vs. controls: -38.72 cm3, 95%CI: -52.25 to -25.19, I2 = 70.2%, p for heterogeneity = 0.018; and T2DM vs. controls: -12.18 cm3, 95%CI: -19.1 to -5.25, I2 = 79.3%, p for heterogeneity = 0.001). Fat content was higher in T2DM vs. controls (+2.73%, 95%CI 0.55 to 4.91, I2 = 82.0%, p for heterogeneity

Suggested Citation

  • Tiago Severo Garcia & Tatiana Helena Rech & Cristiane Bauermann Leitão, 2017. "Pancreatic size and fat content in diabetes: A systematic review and meta-analysis of imaging studies," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-15, July.
    • Handle: RePEc:plo:pone00:0180911
    DOI: 10.1371/journal.pone.0180911
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0180911
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0180911&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0180911?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tom M. Palmer & Jaime L. Peters & Alex J. Sutton & Santiago G. Moreno, 2008. "Contour-enhanced funnel plots for meta-analysis," Stata Journal, StataCorp LP, vol. 8(2), pages 242-254, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael J. Crowther & Dean Langan & Alex J. Sutton, 2012. "Graphical augmentations to the funnel plot to assess the impact of a new study on an existing meta-analysis," Stata Journal, StataCorp LP, vol. 12(4), pages 605-622, December.
    2. Gundula Krack, 2019. "How to make value-based health insurance designs more effective? A systematic review and meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 841-856, August.
    3. Ruxiu Tie & Tiansong Zhang & Huarui Fu & Limengmeng Wang & Yebo Wang & Ying He & Binsheng Wang & Ni Zhu & Shan Fu & Xiaoyu Lai & Jimin Shi & He Huang, 2014. "Association between DNMT3A Mutations and Prognosis of Adults with De Novo Acute Myeloid Leukemia: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    4. Shaylea Badovinac & Jodi Martin & Camille Guérin-Marion & Monica O’Neill & Rebecca Pillai Riddell & Jean-François Bureau & Rebecca Spiegel, 2018. "Associations between mother-preschooler attachment and maternal depression symptoms: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-27, October.
    5. Chun-Yu Chang & Po-Chen Lin & Yung-Jiun Chien & Chien-Sheng Chen & Meng-Yu Wu, 2020. "Analysis of Chest-Compression Depth and Full Recoil in Two Infant Chest-Compression Techniques Performed by a Single Rescuer: Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    6. Haris S Vasiliadis & Adriani Nikolakopoulou & Ian Shrier & Michael P Lunn & Ruth Brassington & Rob J P Scholten & Georgia Salanti, 2015. "Endoscopic and Open Release Similarly Safe for the Treatment of Carpal Tunnel Syndrome. A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-16, December.
    7. Cerdá, Emilio & López-Otero, Xiral & Quiroga, Sonia & Soliño, Mario, 2024. "Willingness to pay for renewables: Insights from a meta-analysis of choice experiments," Energy Economics, Elsevier, vol. 130(C).
    8. Aliasghar Ahmad Kiadaliri & Johan Jarl & Georgios Gavriilidis & Ulf-G Gerdtham, 2013. "Alcohol Drinking Cessation and the Risk of Laryngeal and Pharyngeal Cancers: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    9. Labandeira, Xavier & Labeaga, José M. & Linares, Pedro & López-Otero, Xiral, 2020. "The impacts of energy efficiency policies: Meta-analysis," Energy Policy, Elsevier, vol. 147(C).
    10. Roger M. Harbord & Ross J. Harris & Jonathan A. C. Sterne, 2009. "Updated tests for small-study effects in meta-analyses," Stata Journal, StataCorp LP, vol. 9(2), pages 197-210, June.
    11. Natalie L Adams & Tanith C Rose & Jeremy Hawker & Mara Violato & Sarah J O’Brien & Benjamin Barr & Victoria J K Howard & Margaret Whitehead & Ross Harris & David C Taylor-Robinson, 2018. "Relationship between socioeconomic status and gastrointestinal infections in developed countries: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-16, January.
    12. Thomas K Kilvaer & Erna-Elise Paulsen & Sigurd M Hald & Tom Wilsgaard & Roy M Bremnes & Lill-Tove Busund & Tom Donnem, 2015. "Lymphangiogenic Markers and Their Impact on Nodal Metastasis and Survival in Non-Small Cell Lung Cancer - A Structured Review with Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-17, August.
    13. Wamisho, Kassu, 2013. "A Meta Regression Analysis of Soil Organic Carbon Sequestration in Corn Belt States: Implication for Cellulosic Biofuel Production," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149741, Agricultural and Applied Economics Association.
    14. Ivan Ropovik & Matus Adamkovic & David Greger, 2021. "Neglect of publication bias compromises meta-analyses of educational research," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-14, June.
    15. Pérez-Calero, Leticia & Hurtado-González, José Manuel & López-Iturriaga, Félix J., 2019. "Do the institutional environment and types of owners influence the relationship between ownership concentration and board of director independence? An international meta-analysis," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 233-244.
    16. Xiaoli Liu & Guichuan Huang & Jing Zhang & Longju Zhang & Zongan Liang, 2020. "Prognostic and clinicopathological significance of long noncoding RNA MALAT-1 expression in patients with non-small cell lung cancer: A meta-analysis," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
    17. Sven Kepes & Michael A McDaniel, 2015. "The Validity of Conscientiousness Is Overestimated in the Prediction of Job Performance," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    18. Bindu Kalesan & Heidi Nicewarner & Sunny Intwala & Christopher Leung & Gary J Balady, 2019. "Pre-operative stress testing in the evaluation of patients undergoing non-cardiac surgery: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-22, July.
    19. Jessica E Potts & Laura J Gray & Emer M Brady & Kamlesh Khunti & Melanie J Davies & Danielle H Bodicoat, 2015. "The Effect of Glucagon-Like Peptide 1 Receptor Agonists on Weight Loss in Type 2 Diabetes: A Systematic Review and Mixed Treatment Comparison Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
    20. Maria-Francisca Cespedes-Lopez & Raul-Tomas Mora-Garcia & V. Raul Perez-Sanchez & Juan-Carlos Perez-Sanchez, 2019. "Meta-Analysis of Price Premiums in Housing with Energy Performance Certificates (EPC)," Sustainability, MDPI, vol. 11(22), pages 1-59, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0180911. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.