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More data is needed to validate the use of molecular assays for rapid detection of drug resistance to key anti-TB drugs such as RIF and INH under routine conditions.
While more data is needed to validate this model, specifically regarding the effectiveness of educational activities, long-term visual outcomes, and medication compliance, it may serve as a useful framework for other developing countries with similarly limited resources.
While our limited data show that the programs described above are identifying undiagnosed glaucoma patients and benefiting individuals who would otherwise not be able to afford treatment, more data is needed to validate this approach.
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This is an area where more data are needed to validate the levels of uNGAL, the degree of renal impairment and if this also predicts later morbidity.
Additional data is needed to validate the study.
Additional data are needed to validate or refute this hypothesis.
A larger, multicentred, prospective data are needed to validate these results.
More data are needed to finalize a score and the statistical tools have further to be refined and validated in datasets of other centres.
More data are needed to evaluate this.
More recently, fructosamine, glycated albumin and 1,5-AG have been validated in a few studies as the markers of exposure that may also be markers of disease risk; however, more data are needed to be able to compare different markers.
More research is needed to validate its use in clinical practice.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com