Evidence map›Paper›PMID 38372873›Full record

ReviewCurrent rheumatology reports2024

How to Monitor Disease Activity of Axial Spondyloarthritis in Clinical Practice.

Anand Kumthekar, Nirali Sanghavi, Anuya Natu, Abhijeet Danve

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Anand KumthekarDivision of Rheumatology, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY, USA.
Nirali SanghaviDepartment of Medicine, Westchester Medical Center, Valhalla, NY, USA.
Anuya NatuSeth G S Medical College, Mumbai, India.
Abhijeet DanveDivision of Rheumatology, Department of Medicine, Yale School of Medicine, New Haven, CT, USA. drdanve@hotmail.com.
Albert Einstein College of Medicine · USKing Edward Memorial Hospital and Seth G.S. Medical College · INWestchester Medical Center · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTreatment guided by periodic and quantitative data assessment results in better outcomes compared to using clinical gestalt. While validated generic as well as specific disease activity measures for axial spondyloarthritis (axSpA) are available, there is vast scope to improve their actual utilization in routine clinical practice. In this review, we discuss available disease activity measures for axSpA, describe results from the survey conducted among general rheumatologists as well as Spondyloarthritis Research and Treatment Network (SPARTAN) members about disease activity measurement in daily practice, and discuss ways to improve axSpA disease activity using technological advances. We also discuss the definitions of active disease and target for the treatment of axSpA. RECENT

findingsThe 2019 American College of Rheumatology (ACR)/Spondylitis Association of America (SAA)/Spondyloarthritis Research and Treatment Network (SPARTAN) axSpA treatment guidelines conditionally recommend the regular monitoring of disease activity using a validated measure such as Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) or Ankylosing Spondylitis Disease Severity Index (ASDAS). Assessment of Spondyloarthritis International Society (ASAS)-European Alliance of Associations for Rheumatology (EULAR) guidelines recommend ASDAS as the most appropriate instrument for the assessment of disease activity, preferably calculated using C-reactive protein (CRP). ASAS has selected a core set of variables which were updated recently and have been endorsed by the Outcome Measures in Rheumatology Clinical Trials (OMERACT) group in order to bring homogeneity in assessment of axSpA. In a recent study, Patient-Reported Outcomes Measurement Information System (PROMIS®) measures were able to discriminate inactive, moderate, and high-very high ASDAS activity groups. A newly developed semi-objective index P4 (pain, physical function, patient global, and physician global) correlates well with BASDAI and ASDAS in axSpA and can also be used for other rheumatic diseases in busy clinical practices. Regular disease activity monitoring is critical for long-term management of axSpA and shared decision-making. The integration of electronic health records and smart devices provides a great opportunity to capture patient-reported data. Automated capture of electronic patient-reported outcome measures (ePROMs) is a highly efficient way and results in consistent regular monitoring and may improve the long-term outcomes. While currently used measures focus only on musculoskeletal symptoms of axSpA, a composite disease activity measure that can also incorporate extra-articular manifestations may provide a better assessment of disease activity.

Indexed as

Axial SpondyloarthritisSeverity of Illness IndexHumansPatient Reported Outcome MeasuresAnkylosing spondylitisAxial spondyloarthritis (axSpA)Disease activityPatient-reported outcomes (PROs)

Identifiers

PMID38372873
OpenAlexW4391940961

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.