Evidence map›Paper›PMID 27296323›Full record

ArticleAnnals of the rheumatic diseases2017

Predictive validity of biochemical biomarkers in knee osteoarthritis: data from the FNIH OA Biomarkers Consortium.

Virginia Byers Kraus, Jamie E Collins, David Hargrove, Elena Losina, Michael Nevitt, Jeffrey N Katz, Susanne X Wang, Linda J Sandell, Steven C Hoffmann, David J Hunter and 1 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in Annals of the rheumatic diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 2 pooled it
20.1field-weighted citation impact, top 1% 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

157 citing papers in PubMed, 2 syntheses or guidelines pooled it, 279 citations in OpenAlex.

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  7. A low cartilage formation and repair endotype predicts radiographic progression of symptomatic knee osteoarthritis.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2021
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97 more citing papers are in PubMed but not listed here.

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

11 authors at 8 institutions in 2 countries.

Virginia Byers KrausDuke Molecular Physiology Institute and Division of Rheumatology, Duke University School of Medicine, Durham, North Carolina, USA.
Jamie E CollinsBrigham and Women's Hospital, Boston, Massachusetts, USA.
David HargroveLabCorp Clinical Trials, San Leandro, California, USA.
Elena LosinaBrigham and Women's Hospital, Boston, Massachusetts, USA.
Michael NevittDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Jeffrey N KatzDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Susanne X WangAbbVie, North Chicago, Illinois, USA.
Linda J SandellDepartment of Orthopaedic Surgery, Musculoskeletal Research Center, Washington University in St. Louis, St Louis, Missouri, USA.
Steven C HoffmannFoundation for the National Institutes of Health, Bethesda, Maryland, USA.
David J HunterRheumatology Department, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-3197-752X
OA Biomarkers Consortium
Brigham and Women's Hospital · USUniversity of California, San Francisco · USAbbVie (United States) · USDuke University · USFoundation for the National Institutes of Health · USLabCorp (United States) · USThe University of Sydney · AUWashington University in St. Louis · US

Funding

The Dynamic Range of Site-1 Protease Functions in Skeletal DevelopmentR01AR066590 · NIAMS · WASHINGTON UNIVERSITY · PI PATRA, DEBABRATA, SANDELL, LINDA J · 2015 to 2019
$1.7M
NIAMS NIH HHS R01 AR066590
6 · The paper itself

Abstract

objectiveTo investigate a targeted set of biochemical biomarkers as predictors of clinically relevant osteoarthritis (OA) progression.

methodsEighteen biomarkers were measured at baseline, 12 months (M) and 24 M in serum (s) and/or urine (u) of cases (n=194) from the OA initiative cohort with knee OA and radiographic and persistent pain worsening from 24 to 48 M and controls (n=406) not meeting both end point criteria. Primary analyses used multivariable regression models to evaluate the association between biomarkers (baseline and time-integrated concentrations (TICs) over 12 and 24 M, transposed to z values) and case status, adjusted for age, sex, body mass index, race, baseline radiographic joint space width, Kellgren-Lawrence grade, pain and pain medication use. For biomarkers with adjusted p<0.1, the c-statistic (area under the curve (AUC)), net reclassification index and the integrated discrimination improvement index were used to further select for hierarchical multivariable discriminative analysis and to determine the most predictive and parsimonious model.

resultsThe 24 M TIC of eight biomarkers significantly predicted case status (ORs per 1 SD change in biomarker): sCTXI 1.28, sHA 1.22, sNTXI 1.25, uC2C-HUSA 1.27, uCTXII, 1.37, uNTXI 1.29, uCTXIα 1.32, uCTXIβ 1.27. 24 M TIC of uCTXII (1.47-1.72) and uC2C-Human Urine Sandwich Assay (HUSA) (1.36-1.50) both predicted individual group status (pain worsening, joint space loss and their combination). The most predictive and parsimonious combinatorial model for case status consisted of 24 M TIC uCTXII, sHA and sNTXI (AUC 0.667 adjusted). Baseline uCTXII and uCTXIα both significantly predicted case status (OR 1.29 and 1.20, respectively).

conclusionsSeveral systemic candidate biomarkers hold promise as predictors of pain and structural worsening of OA.

Indexed as

AgedBiomarkersCase-Control StudiesDisease ProgressionFemaleHumansMaleMiddle AgedOsteoarthritis, KneePain MeasurementPredictive Value of TestsPrognosisRadiographyROC CurveSensitivity and SpecificitySeverity of Illness IndexBiomarkersDisease ActivityKnee OsteoarthritisOsteoarthritis

Identifiers

PMID27296323
PMCPMC5851287
OpenAlexW2410484497

What OpenQuestion holds

Textmetadata
LicenceTDM
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.