Evidence map›Paper›PMID 36696492›Full record

ArticleScience advances2023

A "best-in-class" systemic biomarker predictor of clinically relevant knee osteoarthritis structural and pain progression.

Kaile Zhou, Yi-Ju Li, Erik J Soderblom, Alexander Reed, Vaibhav Jain, Shuming Sun, M Arthur Moseley, Virginia Byers Kraus

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
10.7field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Kaile ZhouDuke Molecular Physiology Institute, Durham, NC, USA.ORCID 0000-0002-1000-8589
Yi-Ju LiDuke Molecular Physiology Institute, Durham, NC, USA.ORCID 0000-0001-6996-4834
Erik J SoderblomCenter for Genomic and Computational Biology, Durham, NC, USA.
Alexander ReedDuke Molecular Physiology Institute, Durham, NC, USA.ORCID 0000-0003-3340-0214
Vaibhav JainDuke Molecular Physiology Institute, Durham, NC, USA.
Shuming SunDuke Molecular Physiology Institute, Durham, NC, USA.
M Arthur MoseleyCenter for Genomic and Computational Biology, Durham, NC, USA.ORCID 0000-0001-9907-738X
Virginia Byers KrausDuke Molecular Physiology Institute, Durham, NC, USA.ORCID 0000-0001-8173-8258
Duke Medical Center · USDuke University · USCenter for Genomic Science · IT

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Sarah B. Peskoe · 2006 to 2026
$24.6M
Qualification of Prognostic and Diagnostic Biomarkers of Knee OsteoarthritisR01AR071450 · NIAMS · DUKE UNIVERSITY · PI KRAUS, VIRGINIA · 2017 to 2019
$1.7M
STRATEGIES TO PREDICT OSTEOARTHRITIS PROGRESSIONR01AR048769 · NIAMS · DUKE UNIVERSITY · PI KRAUS, VIRGINIA B. · 2002 to 2006
$1.7M
NIAMS NIH HHS R01 AR048769NIAMS NIH HHS R01 AR071450NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

We aimed to identify markers in blood (serum) to predict clinically relevant knee osteoarthritis (OA) progression defined as the combination of both joint structure and pain worsening over 48 months. A set of 15 serum proteomic markers corresponding to 13 total proteins reached an area under the receiver operating characteristic curve (AUC) of 73% for distinguishing progressors from nonprogressors in a cohort of 596 individuals with knee OA. Prediction based on these blood markers was far better than traditional prediction based on baseline structural OA and pain severity (59%) or the current "best-in-class" biomarker for predicting OA progression, urinary carboxyl-terminal cross-linked telopeptide of type II collagen (58%). The generalizability of the marker set was confirmed in a second cohort of 86 individuals that yielded an AUC of 70% for distinguishing joint structural progressors. Blood is a readily accessible biospecimen whose analysis for these biomarkers could facilitate identification of individuals for clinical trial enrollment and those most in need of treatment.

Indexed as

BiomarkersOsteoarthritis, KneeClinical Trials as TopicDisease ProgressionHumansPainProteomicsBiomarkers

Identifiers

PMID36696492
PMCPMC9876540
OpenAlexW4318039173

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.