Evidence map›Paper›PMID 36356107›Full record

ReviewMusculoskeletal care2022

Outcome measures in psoriatic arthritis: Where next?

Simon Hackett, Laura C Coates

Open access · hybridAbstract readReview
In one paragraph

Review in Musculoskeletal care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Observational
  7. The impact of psoriatic arthritis on quality of life: a systematic review.Therapeutic advances in musculoskeletal disease · 2024
    Review
  8. Evaluation of CD4Advanced biomedical research · 2024
    Article
  9. Article
  10. Article
  11. 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

2 authors at 1 institution in 1 country.

Simon HackettNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Laura C CoatesNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK.
Nuffield Orthopaedic Centre · GB

Funding

Department of Health
6 · The paper itself

Abstract

objectiveTo provide an overview of commonly used outcome measure in psoriatic arthritis (PsA).

backgroundPsA is a heterogenous inflammatory arthritis, associated with psoriasis that affects between 0.1% and 2% of the population and approximately one in three patients with psoriasis. Psoriatic arthritis places a significant burden on patients' overall quality of life and is associated with a range of comorbidities. Although assessment of patients and monitoring of symptoms has greatly improved over the last 2 decades, capturing disease activity in this multisystem disease remains challenging. Previous efforts have traditionally focussed on assessment of individual disease domains, however recent evidence suggests that composite measurements, particularly those incorporating patient reported outcomes may not only help monitor disease activity more accurately, but also help in accurately validating therapy outcomes in PsA patients. PURPOSE: This review discusses currently used outcome measurements in PsA and also highlights the importance of emerging measurements such as biomarkers and their possible role in capturing treatment response.

Indexed as

Arthritis, PsoriaticPsoriasisHumansOutcome Assessment, Health CareQuality of LifeSeverity of Illness Indexoutcomes measurementsPROMpsoriatic arthritis

Identifiers

PMID36356107
PMCPMC9828057
OpenAlexW4308907929

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.