Evidence map›Paper›PMID 28516086›Full record

ReviewFrontiers in medicine2017

Can Synovial Pathobiology Integrate with Current Clinical and Imaging Prediction Models to Achieve Personalized Health Care in Rheumatoid Arthritis?

Frances Claire Humby, Farida Al Balushi, Gloria Lliso, Alberto Cauli, Costantino Pitzalis

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Review
  3. Nanomaterials for the Diagnosis and Treatment of Inflammatory Arthritis.International journal of molecular sciences · 2021
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

5 authors at 4 institutions in 3 countries.

Frances Claire HumbyDepartment of Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK.
Farida Al BalushiDepartment of Rheumatology, Royal Hospital, Muscat, Oman.
Gloria LlisoDepartment of Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK.
Alberto CauliDipartimento di Scienze Mediche, Facoltà di Medicina e Chirurgia, Università degli Studi di Cagliari, Cagliari, Italy.
Costantino PitzalisDepartment of Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK.
Queen Mary University of London · GBRoyal Hospital · OMUniversity of Cagliari · ITWilliam Harvey Research Institute · GB

Funding

Department of Health 11/100/76Medical Research Council G0800648Medical Research Council MR/K015346/1
6 · The paper itself

Abstract

Although great progress has been made in the past decade toward understanding the pathogenesis of rheumatoid arthritis (RA), clinicians remain some distance from a goal of personalized health care. The capacity to diagnose RA early, predict prognosis, and moreover predict response to biologic therapies has been a research focus for many years. How currently available clinical prediction models can facilitate such goals is reviewed in this article. In addition, the role of current imaging techniques in this regard is also discussed. Finally, the authors review the current literature regarding synovial biomarkers and consider whether integration of synovial pathobiology into clinical prediction algorithms may enhance their predictive value.

Indexed as

imagingpathologypersonalized medicinerheumatoid arthritissynovial membrane

Identifiers

PMID28516086
PMCPMC5413506
OpenAlexW2611871093

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.