# Proposed Modifiable Scoring Criteria for Studies Included in Meta-Analyses to Reduce Measurement Bias

## TL;DR

This paper introduces a new scoring system to reduce bias in meta-analyses by evaluating the scientific weight of included studies.

## Contribution

A novel modifiable point-based scoring system is proposed to reduce measurement bias in meta-analyses.

## Key findings

- The scoring system highlights underrepresented data points in meta-analyses.
- It aims to decrease bias and improve interpretation for poorly studied pathologies.
- The system supports standard practice adaptation through more reliable meta-analysis results.

## Abstract

Due to inconsistencies in literature reporting, there is potential for bias in meta-regression calculations used in systematic reviews and meta-analyses. To address this, we propose a novel modifiable point-based scoring system, highlighting to readers the scientific weight of included studies relative to the conclusion of the review’s authors. Such a scoring system will have the added benefit of also highlighting data points that are underrepresented. This system is ideal for synthesizing reviews on pathologies poorly represented in the literature. The scoring system described will decrease bias and enable impactful interpretation to ultimately lead to standard practice adaptation.