Ult



About

Ult is a decision aid tool that determines if a patient has an indication for urate-lowering therapy (ULT) and, if so, whether it is a strong or a conditional indication. It does not provide information about which urate-lowering therapy to use. For that, create a UltAid.


Methodology

The information needed to determine whether ULT is appropriate includes:

The ULT will use this information to determine whether there is an indication for urate-lowering therapy or not. The American College of Rheumatology Guidelines for the Management of Gout1 are used to determine the strength of the indication.


Outcomes

ULT outcomes are based in the GRADE methodology 2, 3, 4.

Strong Indication

The panel of individuals writing the guidelines is confident that the desirable effects of adherence to a recommendation outweigh the undesirable effects.

Conditional Indication

The panel writing the guidelines concludes that the desirable effects of adherence to a recommendation probably outweigh the undesirable effects, but is not confident.

Not Indicated

This means that the treatment is not appropriate for the patient.


References

  1. FitzGerald JD, Dalbeth N, Mikuls T, Brignardello-Petersen R, Guyatt G, Abeles AM, Gelber AC, Harrold LR, Khanna D, King C, Levy G, Libbey C, Mount D, Pillinger MH, Rosenthal A, Singh JA, Sims JE, Smith BJ, Wenger NS, Bae SS, Danve A, Khanna PP, Kim SC, Lenert A, Poon S, Qasim A, Sehra ST, Sharma TSK, Toprover M, Turgunbaev M, Zeng L, Zhang MA, Turner AS, Neogi T. 2020 American College of Rheumatology Guideline for the Management of Gout. Arthritis Care Res (Hoboken). 2020 Jun;72(6):744-760. doi: 10.1002/acr.24180. Epub 2020 May 11. Erratum in: Arthritis Care Res (Hoboken). 2020 Aug;72(8):1187. Erratum in: Arthritis Care Res (Hoboken). 2021 Mar;73(3):458. PMID: 32391934.

  2. Guyatt GH, Oxman AD, Kunz R, Vist GE, Falck-Ytter Y, Schunemann HJ. What is "quality of evidence" and why is it important to clinicians? BMJ (Clinical research ed). 2008;336(7651):995-8. PMID: 18456631.

  3. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ (Clinical research ed). 2008;336(7650):924-6. PMID: 18436948.

  4. Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, et al.GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. Journal of clinical epidemiology. 2011;64(4):383-94. PMID: 21195583.

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