ArticleCureus2025
Proposed Modifiable Scoring Criteria for Studies Included in Meta-Analyses to Reduce Measurement Bias.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.