Evidence map›Paper›PMID 26686368›Full record

Observational studyClinical rheumatology2016

Overweight older adults, particularly after an injury, are at high risk for accelerated knee osteoarthritis: data from the Osteoarthritis Initiative.

Jeffrey B Driban, Charles B Eaton, Grace H Lo, Lori Lyn Price, Bing Lu, Mary F Barbe, Timothy E McAlindon

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Clinical rheumatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Accelerated knee osteoarthritis: a case description and literature analysis.Quantitative imaging in medicine and surgery · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Efficacy ofFrontiers in pharmacology · 2023
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Observational
  12. Understanding Atherosclerosis Through an Osteoarthritis Data Set.Arteriosclerosis, thrombosis, and vascular biology · 2019
    Review
  13. Risk factors can classify individuals who develop accelerated knee osteoarthritis: Data from the osteoarthritis initiative.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Observational
  14. Article
  15. Glucose homeostasis influences the risk of incident knee osteoarthritis: Data from the osteoarthritis initiative.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Observational
  16. Observational
  17. Article
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

7 authors at 6 institutions in 1 country.

Jeffrey B DribanDivision of Rheumatology, Tufts Medical Center, 800 Washington Street, Box #406, Boston, MA, 02111, USA. jeffrey.driban@tufts.edu.ORCID http://orcid.org/0000-0001-6098-4273
Charles B EatonCenter for Primary Care and Prevention, Alpert Medical School of Brown University, 111 Brewster Street, Pawtucket, RI, 02860, 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.
Lori Lyn PriceThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA.
Bing LuBrigham & Women's Hospital and Harvard Medical School, 75 Francis Street PBB-B3, Boston, MA, 02115, 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.
Tufts Medical Center · USBrigham and Women's Hospital · USBrown University · USMichael E. DeBakey VA Medical Center · USTemple University · USTufts University · US

Funding

Characterization of Rapidly Progressive Knee OsteoarthritisR01AR065977 · NIAMS · TUFTS MEDICAL CENTER · PI DRIBAN, JEFFREY B · 2015 to 2018
$1.5M
Modifiable Risk Factors for Incident and Progressive Early Knee OsteoarthritisK23AR062127 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI LO, GRACE · 2012 to 2016
$676k
CLINICAL CENTERS FOR THE OSTEOARTHRITIS INITIATIVE-264022259-264022259N01AR022259 · NIAMS · UNIVERSITY OF MARYLAND AT BALT · PI HOCHBERG, MARC C. · 2002 to 2006
–
CLINICAL CENTERS FOR THE OSTEOARTHRITIS INITIATIVE-N01AR22261N01AR022261 · NIAMS · OHIO STATE UNIVERSITY RESEARCH · PI JACKSON, REBECCA · 2002 to 2006
–
CLINICAL CENTER FOR THE OSTEOARTHRITIS-264022262-264022262N01AR022262 · NIAMS · THE MEMORIAL HOSPITAL · PI ASSAF, ANNLOUISE R. · 2002 to 2006
–
CLINICAL CENTERS FOR THE OSTEOARTHRITIS INITIATIVE-N01AR22260N01AR022260 · NIAMS · UNIVERSITY OF PITTSBURGH · PI KWOH, KENT · 2002 to 2006
–
DATA COORDINATING CENTER FOR THE OSTEOARTHRITIS INITIATIVE-264022258N01AR022258 · NIAMS · UNIVERSITY OF CALIFORNIA SYS OFFICE/PRES · 2003 to 2003
–
NHLBI NIH HHS HHSN268201200032CNIAMS NIH HHS K23 AR062127NIAMS NIH HHS N01-AR-2-2258NIAMS NIH HHS N01-AR-2-2259NIAMS NIH HHS N01-AR-2-2260NIAMS NIH HHS N01-AR-2-2261NIAMS NIH HHS N01-AR-2-2262NIAMS NIH HHS R01 AR065977NIAMS NIH HHS R01-AR065977-01A1PHS HHS HHSN268201200032C
6 · The paper itself

Abstract

We explored whether age and body mass index (BMI) can help identify a subset of individuals who are at high risk for accelerated knee osteoarthritis (AKOA) compared with common knee osteoarthritis (KOA). In the Osteoarthritis Initiative, a multicenter observational cohort study of KOA (n = 4796), we studied participants without KOA at baseline (Kellgren-Lawrence (KL) <2). Participants could have one of three outcomes: (1) AKOA, ≥1 knee progressed to end-stage KOA within 48 months; (2) common KOA, ≥1 knee increased in radiographic scoring within 48 months (excluding those with AKOA); and (3) no KOA, no change in KL grade in either knee. After verifying an interaction between age, BMI, and recent knee injury, we determined if we could identify a specific subset of individuals at high risk for AKOA instead of KOA. First, we reviewed three-dimensional graphs with age, BMI, and probability of AKOA versus KOA on the axes. We then conducted a logistic regression with AKOA as the outcome and age-BMI groups as the predictor. In our main analyses, we found that older individuals with a BMI <35 kg/m(2) were more likely to develop AKOA than common KOA (n = 64; mean [SD] BMI = 27.3 [3.1] kg/m(2); odds ratio = 3.47, 95 % confidence interval = 1.70 to 7.10), especially if they had a recent knee injury. While older age and greater BMI are independently associated with AKOA, we found that older individuals who had a higher BMI, particularly if they have an injury, were more likely to develop AKOA than common KOA.

Indexed as

AgedAge FactorsAnthropometryBody Mass IndexData CollectionFemaleHumansLongitudinal StudiesMaleMiddle AgedOsteoarthritis, KneeOverweightRisk FactorsSelf ReportTreatment OutcomeAgeBody mass indexInjuriesKneeOsteoarthritis

Identifiers

PMID26686368
PMCPMC4811718
OpenAlexW2215739393

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.