IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0268623.html
   My bibliography  Save this article

Subtenon triamcinolone as an adjuvant in mitomycin-C-enhanced trabeculectomy in non-inflammatory glaucomas: A randomized clinical trial

Author

Listed:
  • Diego T Dias
  • Izabela Almeida
  • Michele Ushida
  • Flavio S Lopes
  • Fábio N Kanadani
  • Carolina P B Gracitelli
  • Tiago S Prata

Abstract

This unicentric randomized clinical trial was designed to compare the surgical outcomes of mitomycin C-enhanced trabeculectomy (MMC-TRAB) with and without subtenon triamcinolone acetonide (TAAC) injection in patients with non-inflammatory glaucomas. This trial is registered at the Brazilian Registry of Clinical Trials (ReBEC) under the register number RBR-53f8nh. Consecutive non-inflammatory glaucoma patients requiring surgical intervention were randomized into two groups. In the control group, eyes underwent standard MMC-TRAB, while in the intervention group, besides the standard MMC-TRAB, these eyes also received a subtenon TAAC injection (4mg) close to the bleb site at the end of the surgery. The main outcomes of the study were surgical success rates, intraocular pressure (IOP) and number of medications at all timepoints. Success was defined as IOP ≤ 15 mmHg and subdivided in complete or qualified according to the need of medication. A total of 75 eyes of 63 different patients were included (intervention group = 39 eyes; control group = 36 eyes). There was no difference between groups at baseline (p>0.11). Multivariable regression analysis indicated that IOP levels were significantly lower in the intervention group at 18 and 24 months of follow-up when number of medications was considered as a covariate (P

Suggested Citation

  • Diego T Dias & Izabela Almeida & Michele Ushida & Flavio S Lopes & Fábio N Kanadani & Carolina P B Gracitelli & Tiago S Prata, 2022. "Subtenon triamcinolone as an adjuvant in mitomycin-C-enhanced trabeculectomy in non-inflammatory glaucomas: A randomized clinical trial," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-13, May.
    • Handle: RePEc:plo:pone00:0268623
    DOI: 10.1371/journal.pone.0268623
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0268623
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0268623&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0268623?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. C. A. Field & A. H. Welsh, 2007. "Bootstrapping clustered data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(3), pages 369-390, 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. Wen Shi & Xi Chen & Jennifer Shang, 2019. "An Efficient Morris Method-Based Framework for Simulation Factor Screening," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 745-770, October.
    2. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LLC, vol. 19(1), pages 4-60, March.
    3. Coisnon, Thomas & Rousselière, Damien & Rousselière, Samira, 2018. "Information on biodiversity and environmental behaviors: a European study of individual and institutional drivers to adopt sustainable gardening practices," Working Papers 272611, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    4. Robin Van Oirbeek & Emmanuel Lesaffre, 2018. "An Investigation of the Discriminatory Ability of the Clustering Effect of the Frailty Survival Model," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(3), pages 87-98, April.
    5. Janice L. Scealy & David Heslop & Jia Liu & Andrew T. A. Wood, 2022. "Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics," International Statistical Review, International Statistical Institute, vol. 90(2), pages 237-258, August.
    6. Orth, Walter, 2012. "The predictive accuracy of credit ratings: Measurement and statistical inference," International Journal of Forecasting, Elsevier, vol. 28(1), pages 288-296.
    7. Sarah E. Robertson & Jon A. Steingrimsson & Issa J. Dahabreh, 2024. "Cluster Randomized Trials Designed to Support Generalizable Inferences," Evaluation Review, , vol. 48(6), pages 1088-1114, December.
    8. M. S. Shotwell & K. J. Drake & V. Y. Sidorov & J. P. Wikswo, 2013. "Mechanistic Analysis of Challenge–Response Experiments," Biometrics, The International Biometric Society, vol. 69(3), pages 741-747, September.
    9. Morduch, Jonathan & Ravi, Shamika & Bauchet, Jonathan, 2013. "Substitution Bias and External Validity: Why an Innovative Anti-poverty Program Showed no Net Impact," CEI Working Paper Series 2013-02, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    10. Amadou Barry & Karim Oualkacha & Arthur Charpentier, 2023. "Alternative fixed-effects panel model using weighted asymmetric least squares regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 819-841, September.
    11. Sara Kherad-Pajouh & Olivier Renaud, 2015. "A general permutation approach for analyzing repeated measures ANOVA and mixed-model designs," Statistical Papers, Springer, vol. 56(4), pages 947-967, November.
    12. Cheng, Guang & Yu, Zhuqing & Huang, Jianhua Z., 2013. "The cluster bootstrap consistency in generalized estimating equations," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 33-47.
    13. John Mullahy & Stephanie Robert, 2010. "No time to lose: time constraints and physical activity in the production of health," Review of Economics of the Household, Springer, vol. 8(4), pages 409-432, December.
    14. Orth, Walter, 2010. "The predictive accuracy of credit ratings: Measurement and statistical inference," MPRA Paper 30148, University Library of Munich, Germany, revised 16 Feb 2011.
    15. Ling Lan & Dipankar Bandyopadhyay & Somnath Datta, 2017. "Non-parametric regression in clustered multistate current status data with informative cluster size," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 71(1), pages 31-57, January.
    16. Samanta, Mayukh & Welsh, A.H., 2013. "Bootstrapping for highly unbalanced clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 70-81.
    17. Mathieu Bunel, 2012. "Évaluer un dispositif sectoriel d'aide à l'emploi : l'exemple des hôtels, cafés et restaurants de 2004 à 2009," Economics Working Paper Archive (University of Rennes & University of Caen) 201223, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    18. Anne Darline Youmbi & Betrand Fesuh Nono & Christian Zamo Akono, 2024. "Inequality in opportunity of access to antenatal care in Cameroon: multilevel modelling, spatial analysis and decomposition methods," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-17, December.
    19. Mathieu Bunel & Yannick L'Horty, 2011. "Les effets des aides publiques aux Hôtels Cafés Restaurants et leurs interactions : Une évaluation sur micro-données d'entreprises," Working Papers halshs-00744905, HAL.
    20. Van Oirbeek, R. & Lesaffre, E., 2012. "Assessing the predictive ability of a multilevel binary regression model," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1966-1980.

    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:pone00:0268623. 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.