Tahereh Poordast

No ORCID on file · 30 papers in corpus · active 2017-2026

Study types

  • article 21
  • other 2
  • preprint 2
  • erratum 2
  • meta-analysis 1

Condition tags

  • endometriosis 25
  • endometrioma 12
  • die_deep_infiltrating 8
  • infertility 7
  • dyspareunia 5
  • dysmenorrhea 4
  • chronic_pelvic_pain 2
  • adenomyosis 1
article 2019
Effects of clarithromycin on inflammatory markers and clinical manifestations in postsurgical follow-up of patients with endometriosis: a double-blinded randomized placebo-controlled clinical trial
Archives of gynecology and obstetrics ·doi:10.1007/s00404-019-05057-4
article 2019
In vitro analysis of antioxidant and heme oxygenase-1 enzymes activity in ectopic and eutopic cells from patients with endometriosis treated with caffeic acid
·doi:10.1016/j.cca.2019.03.925
article 2019
Serum and Peritoneal Fluid Cytokine Profiles in Infertile Women with Endometriosis.
Iranian journal of immunology : IJI ·doi:10.22034/iji.2019.80258

BACKGROUND: Endometriosis is a chronic inflammatory disease with the growth of endometrial cells out of uterus and in the peritoneal cavity. T cell subsets participate in the establishment and progress of the disease by producing different …

review 2019
The success of various endometrioma treatments in infertility: A systematic review and meta‐analysis of prospective studies
Reproductive medicine and biology ·doi:10.1002/rmb2.12286

BACKGROUND: Endometriosis is seen in 0.5%-5% of fertile and 25%-40% of infertile women. To investigate this conflict between gynecologists that ovarian endometriomas should be removed or not before making any decision about pregnancy among …

article 2017
Surgical outcomes of laparoscopic endometriosis surgery: a 6 year experience
Current medical research and opinion ·doi:10.1080/03007995.2017.1362377

OBJECTIVES: The aim of the present study was to review 6 year experience on the surgical outcomes of laparoscopic endometriosis surgery. METHODS: A cohort study was performed in Shiraz University of Medical Sciences using data from medical …