Sex and gender as predictors for allograft and patient-relevant outcomes after kidney transplantation

Sumedh Jayanti, Nadim A. Beruni, Juanita Noeline Chui, Danny Deng, Amy Liang, Anita Chong, Jonathan C. Craig, Bethany Foster, Martin Howell, Siah Kim, Ruth Sapir-Pichhadze, Roslyn B. Mannon, Nicole Scholes-Robertson, Alexandra Strauss, Allison Tong, Lori West, Tess E. Cooper, Germaine Wong

Research output: Contribution to journalReview articlepeer-review

Abstract

Objectives: This is a protocol for a Cochrane Review (prognosis). The objectives are as follows:. To evaluate the prognostic effect of the recipient's (i) sex and gender separately (ii) gender as an independent predictor of patient-relevant outcomes at any time period following kidney or SPK transplantation () and explore sources of heterogeneity. We aim to evaluate this prognostic effect by (a) clearly defining the relationship between recipient sex/gender and post-transplantation outcomes, which would involve identifying reasons for variations between sexes and genders, and then (b) quantifying the magnitude of this relationship. 1 PICOTS summary of "Sex and gender as predictors for allograft and patient relevant outcomes after kidney transplantation" (Table presented.) "Criteria for Prognostic Reviews: Population, Index (prognostic factor), Comparator, Outcomes, Timing, Setting (PICOTS)" (Moons 2014). Investigation of sources of heterogeneity between studies Sources of heterogeneity may exist between studies that can have an impact on outcomes. We will explore potential sources, which may include patient age, self-reported ethnicity, country of transplantation, transplant era, living versus deceased donor transplantation, definitions and units used for outcomes, quality of the study, and the indication for kidney transplantation.

Original languageEnglish (US)
Article numberCD014966
JournalCochrane Database of Systematic Reviews
Volume2022
Issue number2
DOIs
StatePublished - Feb 28 2022

ASJC Scopus subject areas

  • Pharmacology (medical)

Fingerprint

Dive into the research topics of 'Sex and gender as predictors for allograft and patient-relevant outcomes after kidney transplantation'. Together they form a unique fingerprint.

Cite this