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Table 2 Risk of bias and applicability concerns for included studies based on the QUADAS-2 assessment form

From: The best ovarian reserve marker to predict ovarian response following controlled ovarian hyperstimulation: a systematic review and meta-analysis

 

Risk of bias*

Concerns regarding applicability**

Author, year

Patient selection

Index text

Reference standard

Flow and timing

Patient selection

Index test

Reference standard

Case control

 Laqqan, 2021

Moderate

Unclear

Low

Unclear

Low

Low

Low

 Jayaprakasan, 2008

Low

Low

Low

Low

Low

Low

Low

 Riggs, 2008

Moderate

Low

Low

Low

Low

Low

Low

 Durmusoglu, 2004

Moderate

Low

Low

Moderate

Low

Low

Low

Cross sectional

 Peluso, 2020

Low

Low

Low

Low

Low

Low

Low

 Aghssa, 2015

Low

Low

Low

Moderate

Low

Low

Low

 Aydin, 2015

Moderate

Moderate

Low

Low

Low

Low

Low

 Martı´nez, 2013

Low

Low

Low

Low

Low

Low

Low

 Mehraffza, 2012

Moderate

Moderate

Low

Moderate

Low

Low

Low

 Baker, 2018

Low

Low

Low

Low

Low

Low

Low

Cohort

 Dermolo, 2024

High

Unclear

Unclear

Low

Low

Low

Low

 La Marca, 2023

High

Moderate

Moderate

Low

Low

Low

Low

 Laqqan, 2023

Low

Low

Low

Low

Low

Low

Low

 Laqqan, 2022

Low

Low

Low

Low

Low

Low

Low

 Sun, 2022

Moderate

Unclear

Low

Unclear

Low

Low

Low

 Esteves, 2021

Low

Low

Low

Low

Low

Low

Low

 Kasapoglu, 2021

Low

Unclear

Low

Unclear

Low

Low

Low

 Izhar, 2021

Low

Low

Low

Low

Low

Low

Low

 Neves, 2020

Moderate

Low

Low

Low

Low

Low

Low

 Lee, 2020

Low

Low

Low

Low

Low

Low

Low

 Zheng, 2017

Low

Low

Low

Low

Low

Low

Low

 Lerman, 2017

Moderate

Low

Low

Low

Low

Low

Low

 Li, 2016

Low

Low

Low

Low

Low

Low

Low

 Nardo, 2009

Low

Low

Low

Low

Low

Low

Low

 Tremellen, 2005

Moderate

Low

Low

Low

Low

Low

Low

 Muttukrishna, 2005

Moderate

Low

Low

Moderate

Low

Low

Low

  1. *Risk of bias refers to the likelihood that the design, conduct, or analysis of a study introduces systematic errors, leading to inaccurate or misleading results. In the QUADAS-2 framework, the risk of bias is evaluated across four domains (patient selection, index text, reference standard, flow and timing) each addressing specific potential biases in the study
  2. **Concerns regarding applicability address the extent to which the study findings are relevant to the systematic review question and can be generalized to other clinical settings or populations. These concerns are also evaluated across the same four domains