ArticleTurkish journal of obstetrics and gynecology2023
Individual effects of GSTM1 and GSTT1 polymorphisms on the risk of polycystic ovarian syndrome: A systematic review and meta-analysis.
Article in Turkish journal of obstetrics and gynecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to understand the relationship between two specific genetic variations (GSTT1 and GSTM1 polymorphisms) and the risk of developing polycystic ovarian syndrome (PCOS). PCOS is a common endocrinologic disorder that affects women. Oxidative stress may play a significant role in the development of PCOS. Certain enzymes, such as glutathione S-transferases, help protect cells against oxidative stress. However, previous research on the correlation between these specific genetic variations and PCOS risk has produced inconsistent findings. To address this, a meta-analysis was conducted to examine the potential impact of these genetic variations on PCOS. We conducted a thorough search of the Embase, PubMed, Scopus, Web of Science, and Google Scholar databases to find studies that met our criteria. We used fixed-effects or random-effects models to determine the pooled odds ratios (ORs) and 95% confidence intervals (CIs) of the GSTT1 and GSTM1 polymorphisms related to PCOS. We also performed subgroup analyses based on ethnicity, mean age of participants, and PCOS diagnostic protocols. After screening, we found five studies with 1.607 participants (872 in the PCOS group and 735 in the control group) to be suitable for our meta-analysis. Our analysis showed that GSTM1 and GSTT1 null genotypes were not linked to an increased risk of PCOS (OR: 0.925, 95% CI: 0.755-1.134; OR: 1.175, 95% CI: 0.614-2.247 respectively). Additionally, both Begg's and Egger's tests revealed no publishing bias. This meta-analysis confirmed that there is no association between GSTM1 and GSTT1 polymorphisms and an increased risk of PCOS. However, further studies are required to validate this conclusion.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.