Evidence map›Paper›PMID 29724248›Full record

ArticleArthritis research & therapy2018

Predicting unfavorable long-term outcome in juvenile idiopathic arthritis: results from the Nordic cohort study.

Veronika Rypdal, Ellen Dalen Arnstad, Kristiina Aalto, Lillemor Berntson, Maria Ekelund, Anders Fasth, Mia Glerup, Troels Herlin, Susan Nielsen, Suvi Peltoniemi and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
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  4. Article
  5. Disease Damage in Juvenile Idiopathic Arthritis.Indian journal of pediatrics · 2025
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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

15 authors.

Veronika RypdalDepartment of Pediatrics, University Hospital of North Norway, Tromsø, Norway. veronika.rypdal@unn.no.ORCID 0000-0003-3476-305X
Ellen Dalen ArnstadDepartment of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Kristiina AaltoHospital for Children and Adolescents, University of Helsinki, Helsinki, Finland.
Lillemor BerntsonDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Maria EkelundDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Anders FasthDepartment of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Mia GlerupDepartment of Pediatrics, Aarhus University Hospital, Aarhus, Denmark.
Troels HerlinDepartment of Pediatrics, Aarhus University Hospital, Aarhus, Denmark.
Susan NielsenDepartment of Pediatrics, Rigshospitalet Copenhagen University Hospital, Copenhagen, Denmark.
Suvi PeltoniemiHospital for Children and Adolescents, University of Helsinki, Helsinki, Finland.
Marek ZakDepartment of Pediatrics, Rigshospitalet Copenhagen University Hospital, Copenhagen, Denmark.
Marite RyggDepartment of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Martin RypdalDepartment of Mathematics and Statistics, UIT the Arctic University of Norway, Tromsø, Norway.
Ellen NordalDepartment of Pediatrics, University Hospital of North Norway, Tromsø, Norway.
Nordic Study Group of Pediatric Rheumatology (NoSPeR)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim was to develop prediction rules that may guide early treatment decisions based on baseline clinical predictors of long-term unfavorable outcome in juvenile idiopathic arthritis (JIA).

methodsIn the Nordic JIA cohort, we assessed baseline disease characteristics as predictors of the following outcomes 8 years after disease onset. Non-achievement of remission off medication according to the preliminary Wallace criteria, functional disability assessed by Childhood Health Assessment Questionnaire (CHAQ) and Physical Summary Score (PhS) of the Child Health Questionnaire, and articular damage assessed by the Juvenile Arthritis Damage Index-Articular (JADI-A). Multivariable models were constructed, and cross-validations were performed by repeated partitioning of the cohort into training sets for developing prediction models and validation sets to test predictive ability.

resultsThe total cohort constituted 423 children. Remission status was available in 410 children: 244 (59.5%) of these did not achieve remission off medication at the final study visit. Functional disability was present in 111/340 (32.7%) children assessed by CHAQ and 40/199 (20.1%) by PhS, and joint damage was found in 29/216 (13.4%). Model performance was acceptable for making predictions of long-term outcome. In validation sets, the area under the curves (AUCs) in the receiver operating characteristic (ROC) curves were 0.78 (IQR 0.72-0.82) for non-achievement of remission off medication, 0.73 (IQR 0.67-0.76) for functional disability assessed by CHAQ, 0.74 (IQR 0.65-0.80) for functional disability assessed by PhS, and 0.73 (IQR 0.63-0.76) for joint damage using JADI-A.

conclusionThe feasibility of making long-term predictions of JIA outcome based on early clinical assessment is demonstrated. The prediction models have acceptable precision and require only readily available baseline variables. Further testing in other cohorts is warranted.

Indexed as

Treatment OutcomeAdolescentAntirheumatic AgentsArthritis, JuvenileChildChild, PreschoolCohort StudiesDisease ProgressionFemaleHumansLongitudinal StudiesMaleRemission InductionScandinavian and Nordic CountriesAntirheumatic AgentsDisease activityJuvenile idiopathic arthritisOutcome researchPrediction

Identifiers

PMID29724248
PMCPMC5934822

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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.