Evidence map›Paper›PMID 33683471›Full record

ReviewCurrent rheumatology reports2021

Outcome Scores in Pediatric Rheumatology.

Gabriella Giancane, Silvia Rosina, Alessandro Consolaro, Nicolino Ruperto

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Treat-to-Target in Pediatric Rheumatic Diseases.Current rheumatology reports · 2023
    Review
  3. Article
  4. Article
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 1 institution in 1 country.

Gabriella GiancaneClinica Pediatrica e Reumatologia, IRCCS Istituto Giannina Gaslini, Genoa, Italy.ORCID 0000-0003-2558-3559
Silvia RosinaClinica Pediatrica e Reumatologia, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Alessandro ConsolaroClinica Pediatrica e Reumatologia, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Nicolino RupertoClinica Pediatrica e Reumatologia, IRCCS Istituto Giannina Gaslini, Genoa, Italy. nicolaruperto@gaslini.org.ORCID 0000-0001-8407-7782
Istituto Giannina Gaslini · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewProviding a summary of the latest research on outcome measures in juvenile idiopathic arthritis, childhood -onset systemic lupus erythematosus, and juvenile dermatomyositis. RECENT

findingsA rational management of patients with pediatric rheumatic diseases requires the regular assessment of the level of disease activity and damage, as well as the evaluation of therapeutic response through validated and standardized outcome measures. Ideally, such tools should be simple, feasible, and easily applicable in routine care. Recently, there has been a great deal of effort to refine existing tools and devise novel outcome measures, aiming to address the various aspects of disease impact and to improve the reliability of research studies and clinical trials. The newest outcome tools in pediatric rheumatology have markedly enlarged the spectrum of health domains assessable in a standardized way, thus increasing the reliability of evaluation of clinical response and fostering future clinical trials.

Indexed as

Arthritis, JuvenileLupus Erythematosus, SystemicOutcome Assessment, Health CareChildHumansReproducibility of ResultsRheumatologyActivity assessmentCore set measuresDamage assessmentDefinition of improvementDisease state criteriaOutcome measures

Identifiers

PMID33683471
OpenAlexW3134939510

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.