Evidence map›Paper›PMID 25163741›Full record

ReviewCurrent pharmaceutical design2015

Biomarkers predicting a need for intensive treatment in patients with early arthritis.

I González-Álvaro, A M Ortiz, I V Seoane, R García-Vicuña, C Martínez, R P Gomariz

Abstract readReview
In one paragraph

Review in Current pharmaceutical design, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Identification of a HumanFrontiers in immunology · 2020
    Article
  8. Review
  9. Review
  10. Article
  11. Rheumatoid Arthritis: A Brief Overview of the Treatment.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2018
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Advances in use of immunomodulatory agents--a rheumatology perspective.Nature reviews. Gastroenterology & hepatology · 2015
    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

6 authors.

I González-Álvaro
A M Ortiz
I V Seoane
R García-Vicuña
C Martínez
R P GomarizRheumatology Service, Hospital Universitario de La Princesa, IIS Princesa, Madrid, Spain. isidoro.ga@ser.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heterogeneous nature of rheumatoid arthritis (RA) complicates early recognition and treatment. In recent years, a growing body of evidence has demonstrated that intervention during the window of opportunity can improve the response to treatment and slow- or even stop-irreversible structural changes. Advances in therapy, such as biologic agents, and changing approaches to the disease, such as the treat to target and tight control strategies, have led to better outcomes resulting from personalized treatment to patients with different prognostic markers. The various biomarkers identified either facilitate early diagnosis or make it possible to adjust management to disease activity or poor outcomes. However, no single biomarker can bridge the gap between disease onset and prescription of the first DMARD, and traditional biomarkers do not identify all patients requiring early aggressive treatment. Furthermore, the outcomes of early arthritis cohorts are largely biased by the treatment prescribed to patients; therefore, new challenges arise in the search for prognostic biomarkers. Herein, we discuss the value of traditional and new biomarkers and suggest the need for intensive treatment as a new surrogate marker of poor prognosis that can guide therapeutic decisions in the early stages of RA.

Indexed as

Arthritis, RheumatoidBiomarkersHumansSeverity of Illness IndexBiomarkers

Identifiers

PMID25163741
PMCPMC4298237

What OpenQuestion holds

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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.