Evidence map›Paper›PMID 29741284›Full record

Trial reportArthritis care & research2019

Novel Approach to Estimate Osteoarthritis Progression: Use of the Reliable Change Index in the Evaluation of Joint Space Loss.

Camille M Parsons, Andrew Judge, Kirsten Leyland, Olivier Bruyère, Florence Petit Dop, Roland Chapurlat, Jean-Yves Reginster, Mark H Edwards, Elaine M Dennison, Cyrus Cooper and 2 more

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Arthritis care & research, 2019. 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
2.2field-weighted citation impact, top 13% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
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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

12 authors at 8 institutions in 4 countries.

Camille M ParsonsUniversity of Southampton, Southampton, UK.
Andrew JudgeUniversity of Southampton, Southampton, and University of Oxford, Oxford, UK.
Kirsten LeylandUniversity of Oxford, Oxford, and University of Bristol, Bristol, UK.
Olivier BruyèreUniversity of Liège, Liège, Belgium.
Florence Petit DopInnovative Therapeutic Pole of Rheumatology, Servier, Surenes, France.
Roland ChapurlatINSERM UMR 1033, Hôpital Edouard Herriot, Université de Lyon, Lyon, France.
Jean-Yves ReginsterUniversity of Liège, Liège, Belgium.
Mark H EdwardsUniversity of Southampton and Southampton General Hospital, Southampton, and Portsmouth Hospitals NHS Trust, Portsmouth, UK.
Elaine M DennisonUniversity of Southampton, Southampton, UK.
Cyrus CooperUniversity of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, and University of Oxford, Oxford, UK.
Hazel InskipUniversity of Southampton, and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
SEKOIA Study Group
University of Liège · BEUniversity of Southampton · GBBradford Royal Infirmary · GBServier (France) · FRSouthampton General Hospital · GBUniversité Claude Bernard Lyon 1 · FRUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Bristol · GB

Funding

Arthritis Research UKInternational Osteoporosis FoundationMedical Research Council G0400491Medical Research Council MC_U147574234Medical Research Council MC_U147574237Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MC_UU_12011/4Medical Research Council of Great BritainNIHR Musculoskeletal Biomedical Research UnitNIHR Nutrition Biomedical Research CentreUniversity of OxfordUniversity of Southampton
6 · The paper itself

Abstract

objectiveOsteoarthritis-related changes in joint space measurements over time are small and sensitive to measurement error. The Reliable Change Index (RCI) determines whether the magnitude of change observed in an individual can be attributed to true change. This study aimed to examine the RCI as a novel approach to estimating osteoarthritis progression.

methodsData were from 167 men and 392 women with knee osteoarthritis (diagnosed using the American College of Rheumatology criteria) randomized to the placebo arm of the 3-year Strontium Ranelate Efficacy in Knee Osteoarthritis trial (SEKOIA) and assessed annually. The RCI was used to determine whether the magnitude of change in joint space width (JSW) on radiographs between study years was likely to be true or due to measurement error.

resultsBetween consecutive years, 57-69% of participants had an apparent decrease (change <0) in JSW, while 31-43% of participants had annual changes indicating improvement in JSW. The RCI identified JSW decreases in only 6.0% of patients between baseline and year 1, and in 4.5% of patients between the remaining study years. The apparent increases in JSW were almost eliminated between baseline and year 1, and between years 1 and 2 only 1.3% of patients had a significant increase, dropping to 0.9% between years 2 and 3.

conclusionThe RCI provides a method to identify change in JSW, removing many apparent changes that are likely to be due to measurement error. This method appears to be useful for assessing change in JSW from radiographs in clinical and research settings.

Indexed as

Disease ProgressionSeverity of Illness IndexAgedBone Density Conservation AgentsFemaleHumansKnee JointMaleMiddle AgedOsteoarthritis, KneeReproducibility of ResultsThiophenesBone Density Conservation Agentsstrontium ranelateThiophenes

Identifiers

PMID29741284
PMCPMC6129388
OpenAlexW2801557181

What OpenQuestion holds

Textmetadata
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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.