Evidence map›Paper›PMID 37308659›Full record

ReviewNature reviews. Rheumatology2023

Disease stratification in GCA and PMR: state of the art and future perspectives.

Alessandro Tomelleri, Kornelis S M van der Geest, Muhammad Asim Khurshid, Alwin Sebastian, Fiona Coath, Daniel Robbins, Barbara Pierscionek, Christian Dejaco, Eric Matteson, Yannick van Sleen and 1 more

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
27.4field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
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

11 authors at 8 institutions in 6 countries.

Alessandro Tomelleri *Unit of Immunology, Rheumatology, Allergy and Rare diseases, IRCCS San Raffaele Hospital, Milan, Italy.
Kornelis S M van der Geest *Department of Rheumatology and Clinical Immunology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID 0000-0003-2798-6765
Muhammad Asim KhurshidDepartment of Rheumatology, University Hospitals Dorset, Dorset, UK.
Alwin SebastianDepartment of Rheumatology, University Hospital Limerick, Limerick, Ireland.
Fiona CoathRheumatology Department, Mid and South Essex University Hospitals NHS Foundation Trust, Southend University Hospital, Westcliff-on-sea, UK.
Daniel RobbinsMedical Technology Research Centre, School of Allied Health, Anglia Ruskin University, Chelmsford, UK.
Barbara PierscionekFaculty of Health Education Medicine and Social Care, Medical Technology Research Centre, Anglia Ruskin University, Chelmsford Campus, Chelmsford, UK.
Christian DejacoDepartment of Rheumatology, Hospital of Bruneck (ASAA-SABES), Teaching Hospital of the Paracelsus Medical University, Bruneck, Italy.ORCID 0000-0002-0173-0668
Eric MattesonDivision of Rheumatology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Yannick van SleenDepartment of Rheumatology and Clinical Immunology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.ORCID 0000-0002-7382-8322
Bhaskar DasguptaRheumatology Department, Mid and South Essex University Hospitals NHS Foundation Trust, Southend University Hospital, Westcliff-on-sea, UK. bhaskar.dasgupta@aru.ac.uk.ORCID 0000-0002-5523-6534
Anglia Ruskin University · GBSouthend University Hospital NHS Foundation Trust · GBUniversity Medical Center Groningen · NLDorset County Hospital · GBMayo Clinic in Arizona · USMedical University of Graz · ATUniversity Hospital Limerick · IEVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant cell arteritis (GCA) and polymyalgia rheumatica (PMR) are closely related conditions characterized by systemic inflammation, a predominant IL-6 signature, an excellent response to glucocorticoids, a tendency to a chronic and relapsing course, and older age of the affected population. This Review highlights the emerging view that these diseases should be approached as linked conditions, unified under the term GCA-PMR spectrum disease (GPSD). In addition, GCA and PMR should be seen as non-monolithic conditions, with different risks of developing acute ischaemic complications and chronic vascular and tissue damage, different responses to available therapies and disparate relapse rates. A comprehensive stratification strategy for GPSD, guided by clinical findings, imaging and laboratory data, facilitates appropriate therapy and cost-effective use of health-economic resources. Patients presenting with predominant cranial symptoms and vascular involvement, who usually have a borderline elevation of inflammatory markers, are at an increased risk of sight loss in early disease but have fewer relapses in the long term, whereas the opposite is observed in patients with predominant large-vessel vasculitis. How the involvement of peripheral joint structures affects disease outcomes remains uncertain and understudied. In the future, all cases of new-onset GPSD should undergo early disease stratification, with their management adapted accordingly.

Indexed as

Giant Cell ArteritisPolymyalgia RheumaticaDiagnostic ImagingGlucocorticoidsHumansGlucocorticoids

Identifiers

PMID37308659
OpenAlexW4380301326

What Socratic 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 Socratic graph.