Evidence map›Paper›PMID 29423719›Full record

ArticleClinical rheumatology2018

Adults with incident accelerated knee osteoarthritis are more likely to receive a knee replacement: data from the Osteoarthritis Initiative.

Julie E Davis, Shao-Hsien Liu, Kate Lapane, Matthew S Harkey, Lori Lyn Price, Bing Lu, Grace H Lo, Charles B Eaton, Mary F Barbe, Timothy E McAlindon and 1 more

Abstract read
In one paragraph

Article in Clinical rheumatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Accelerated knee osteoarthritis: a case description and literature analysis.Quantitative imaging in medicine and surgery · 2025
    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

11 authors at 6 institutions in 1 country.

Julie E DavisDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
Shao-Hsien LiuDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue North, AC7-073, Worcester, MA, 01655, USA.
Kate LapaneDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue North, AC7-073, Worcester, MA, 01655, USA.
Matthew S HarkeyDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
Lori Lyn PriceThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box #63, Boston, MA, 02111, USA.
Bing LuBrigham and Women's Hospital and Harvard Medical School, 75 Francis Street PBB-B3, Boston, MA, 02115, USA.
Grace H LoMedical Care Line and Research Care Line, Houston Health Services Research and Development (HSR&D) Center of Excellence Michael E. DeBakey VAMC, Houston, TX, USA.
Charles B EatonCenter for Primary Care and Prevention, Alpert Medical School of Brown University, 111 Brewster Street, Pawtucket, RI, 02860, USA.
Mary F BarbeDepartment of Anatomy and Cell Biology, Temple University School of Medicine, 3500 North Broad Street, Philadelphia, PA, 19140, USA.
Timothy E McAlindonDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA.
Jeffrey B DribanDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA. jeffrey.driban@tufts.edu.
Tufts Medical Center · USUniversity of Massachusetts Chan Medical School · USBaylor College of Medicine · USBrigham and Women's Hospital · USBrown University · USTemple University · US

Funding

Characterization of Rapidly Progressive Knee OsteoarthritisR01AR065977 · NIAMS · TUFTS MEDICAL CENTER · PI DRIBAN, JEFFREY B · 2015 to 2018
$1.5M
Houston Veterans Affairs Health Services Research and Development Center of Excellence HFP90-020National Institute of Arthritis and Musculoskeletal and Skin Diseases R01 AR065977NIAMS NIH HHS R01 AR065977
6 · The paper itself

Abstract

We aimed to determine if knees with incident accelerated knee osteoarthritis (AKOA) were more likely to receive a knee replacement (KR) than those with common knee osteoarthritis (KOA) or no KOA. We conducted a nested cohort study using data from baseline and the first 9 years of the Osteoarthritis Initiative (OAI). Eligible knees had no radiographic KOA at baseline (Kellgren-Lawrence [KL] < 2). We classified 3 groups using KL grades from the first 8 years of the OAI: 1) AKOA: knee progressed to advance-stage KOA (KL 3/4) in ≤ 4 years, 2) common KOA: knee increased in KL grade (excluding AKOA), and 3) No KOA: no change in KL grade by 8 years. The outcome was a KR (partial or total) at or before the 9-year OAI visit. We conducted a logistic regression with generalized linear mixed model and adjusted for age, body mass index, and sex. Overall, 14% of knees with AKOA received a KR by the 9th year compared with 1% and < 1% of those with common or no KOA, respectively. Knees that developed AKOA were > 80x and ~ 25x more likely to receive a KR than knees with no KOA or incident common KOA (adjusted odds ratio = 25.08; 95% confidence interval = 9.63-65.34). In conclusion, approximately 1 in 7 knees that develop AKOA received a KR; however, KRs were rare in the OAI among other knees with no radiographic KOA at baseline. Urgent steps are needed to identify adults at high-risk for AKOA and develop prevention strategies regarding the modifiable risk factors.

Indexed as

Arthroplasty, Replacement, KneeAgedCohort StudiesDisease ProgressionFemaleHumansKnee JointMaleMiddle AgedOsteoarthritis, Knee

Identifiers

PMID29423719
PMCPMC5882537
OpenAlexW2789198562

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.