Evidence map›Paper›PMID 25940140›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2015

Weight Loss, the Obesity Paradox, and the Risk of Death in Rheumatoid Arthritis.

Joshua F Baker, Erica Billig, Kaleb Michaud, Said Ibrahim, Liron Caplan, Grant W Cannon, Andrew Stokes, Vikas Majithia, Ted R Mikuls

Abstract readMulticenter Study
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Multimorbidity Patterns and Obesity Among Americans Turning Forty.American journal of health promotion : AJHP · 2026
    Article
  8. Article
  9. Metabolic Consequences of Rheumatoid Arthritis.Arthritis care & research · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Joshua F BakerPhiladelphia VA Medical Center and University of Pennsylvania, Philadelphia.
Erica BilligUniversity of Pennsylvania, Philadelphia.
Kaleb MichaudNebraska-Western Iowa VA Medical Center, Omaha, Nebraska, University of Nebraska Medical Center, Omaha and National Data Bank for Rheumatic Diseases, Wichita, Kansas.
Said IbrahimPhiladelphia VA Medical Center and University of Pennsylvania, Philadelphia.
Liron CaplanDenver VA Medical Center, Denver, Colorado.
Grant W CannonSalt Lake City VA Medical Center, Salt Lake City, Utah and University of Utah, Salt Lake City.
Andrew StokesBoston University School of Public Health, Boston, Massachusetts.
Vikas MajithiaG. V. (Sonny) Montgomery VA Medical Center, Montgomery, Mississippi and University of Mississippi Medical Center, Jackson.
Ted R MikulsNebraska-Western Iowa VA Medical Center, Omaha, Nebraska and University of Nebraska Medical Center, Omaha.

Funding

Renal &Urologic Biostatistics Training GrantT32DK060455 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SHULTS, JUSTINE · 2003 to 2019
$1.9M
Racial Disparity in the Utilization of Joint Replacement for OsteoarthritisK24AR055259 · NIAMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IBRAHIM, SAID A · 2007 to 2019
$1.2M
Body composition, bone structure, and joint damage in rheumatoid arthritisIK2CX000955 · VA · PHILADELPHIA VA MEDICAL CENTER · PI BAKER, JOSHUA F. · 2013 to 2017
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CSRD VA IK2 CX000955NIAMS NIH HHS 1-K24-AR-055259-01NIAMS NIH HHS K24 AR055259
6 · The paper itself

Abstract

objectiveIn contrast to what is observed in the general population, a low body mass index (BMI) has been associated with accelerated mortality in patients with rheumatoid arthritis (RA). The aim of this study was to assess whether weight loss might explain these seemingly paradoxical observations.

methodsOur study included patients identified from the Veterans Affairs (VA) RA Registry. Dates of death were abstracted from VA electronic medical records. The BMI at each study visit and the change from the previous visit were determined. The maximum BMI of each patient was also obtained from medical records. The annualized rate of BMI loss was determined from the slope of change (per year) in BMI over visits within the preceding 13 months. Cox multivariable proportional hazards models were used to assess associations between BMI measures and mortality.

resultsIn a sample of 1,674 patients, 312 deaths occurred over 9,183 person-years. A loss in BMI of ≥1 kg/m(2) was associated with a greater risk of death, after adjustment for demographics, comorbidities, BMI, smoking, and RA therapies (hazard ratio [HR] 1.99, 95% confidence interval [95% CI] 1.53-2.59, P < 0.001). This association remained significant in a subsample analysis adjusting for C-reactive protein and physical function (HR 1.81, 95% CI 1.36-2.41, P < 0.001). Weight loss at an annualized rate of ≥3 kg/m(2) was associated with the greatest risk of death (HR 2.49, 95% CI 1.73-3.57, P < 0.001). Low BMI (<20 kg/m(2) ) in patients with a history of obesity (>30 kg/m(2) ) was associated with the greatest risk (HR 8.52, 95% CI 4.10-17.71, P < 0.001).

conclusionWeight loss is a strong predictor of death in patients with RA. These observations may explain the observed obesity paradox and do not support a biologically protective role of obesity.

Indexed as

AgedArthritis, RheumatoidBody Mass IndexCohort StudiesFemaleHumansMaleMiddle AgedObesityPredictive Value of TestsProportional Hazards ModelsRegistriesRetrospective StudiesRisk FactorsUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID25940140
PMCPMC4826750

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.