The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Comparative Effectiveness of Pharmacologic Interventions for Knee Osteoarthritis: A Systematic Review and Network Meta-analysis
Abstract
BACKGROUND: The relative efficacy of available treatments of knee osteoarthritis (OA) must be determined for rational treatment algorithms to be formulated. PURPOSE: To examine the efficacy of treatments of primary knee OA using a network meta-analysis design, which estimates relative effects of all treatments against each other. DATA SOURCES: MEDLINE, EMBASE, Web of Science, Google Scholar, Cochrane Central Register of Controlled Trials from inception through 15 August 2014, and unpublished data. STUDY SELECTION: Randomized trials of adults with knee OA comparing 2 or more of the following: acetaminophen, diclofenac, ibuprofen, naproxen, celecoxib, intra-articular (IA) corticosteroids, IA hyaluronic acid, oral placebo, and IA placebo. DATA EXTRACTION: Two reviewers independently abstracted study data and assessed study quality. Standardized mean differences were calculated for pain, function, and stiffness at 3-month follow-up. DATA SYNTHESIS: Network meta-analysis was performed using a Bayesian random-effects model; 137 studies comprising 33,243 participants were identified. For pain, all interventions significantly outperformed oral placebo, with effect sizes from 0.63 (95% credible interval [CrI], 0.39 to 0.88) for the most efficacious treatment (hyaluronic acid) to 0.18 (CrI, 0.04 to 0.33) for the least efficacious treatment (acetaminophen). For function, all interventions except IA corticosteroids were significantly superior to oral placebo. For stiffness, most of the treatments did not significantly differ from one another. LIMITATION: Lack of long-term data, inadequate reporting of safety data, possible publication bias, and few head-to-head comparisons. CONCLUSION: This method allowed comparison of common treatments of knee OA according to their relative efficacy. Intra-articular treatments were superior to nonsteroidal anti-inflammatory drugs, possibly because of the integrated IA placebo effect. Small but robust differences were observed between active treatments. All treatments except acetaminophen showed clinically significant improvement from baseline pain. This information, along with the safety profiles and relative costs of included treatments, will be helpful for individualized patient care decisions. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vos, T., Flaxman, A. D., Naghavi, M., Lozano, R., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., Aboyans, V., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61729-2 · Cited by 8,291
The Handbook of Research Synthesis.
Howel, D., Cooper, H., & Hedges, L. V. (1995) · Biometrics · doi:10.2307/2533295 · Cited by 3,642
OARSI guidelines for the non-surgical management of knee osteoarthritis
McAlindon, T. E., Bannuru, R. R., Sullivan, M. C., Arden, N. K., Berenbaum, F., Bierma-Zeinstra, S. M., Hawker, G. A., Henrotin, Y., Hunter, D. J., Kawaguchi, H., et al. (2014) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2014.01.003 · Cited by 3,110
Self-citationHochberg, M. C., Altman, R. D., April, K. T., Benkhalti, M., Guyatt, G., McGowan, J., Towheed, T., Welch, V., Wells, G., & Tugwell, P. (2012) · Arthritis Care & Research · doi:10.1002/acr.21596 · Cited by 3,068
Checking consistency in mixed treatment comparison meta-analysis
Dias, S., Welton, N. J., Caldwell, D. M., & Ades, A. E. (2010) · Statistics in Medicine · doi:10.1002/sim.3767 · Cited by 2,521 · cited 2×
“To account for the expected clinical and methodological heterogeneity, we used Bayesian hierarchical random-effects models for mixed multipletreatment comparisons with noninformative prior distributions (Supplement [Data Synthesis and Analysis], available at www.annals.org) (17, 18).”
MethodCombination of direct and indirect evidence in mixed treatment comparisons
Lu, G., & Ades, A. E. (2004) · Statistics in Medicine · doi:10.1002/sim.1875 · Cited by 2,166
Salanti, G. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1037 · Cited by 1,729
Guccione, A. A., Felson, D. T., Anderson, J. J., Anthony, J. M., Zhang, Y., Wilson, P. W., Kelly-Hayes, M., Wolf, P. A., Kreger, B. E., & Kannel, W. B. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.3.351 · Cited by 1,584
Dias, S., Sutton, A. J., Ades, A. E., & Welton, N. J. (2013) · Medical Decision Making · doi:10.1177/0272989x12458724 · Cited by 1,207
Conceptual and technical challenges in network meta-analysis
Cipriani, A., Higgins, J. P. T., Geddes, J. R., & Salanti, G. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-2-201307160-00008 · Cited by 1,072
Cited by
Recent Updates of Diagnosis, Pathophysiology, and Treatment on Osteoarthritis of the Knee
Jang, S., Lee, K., & Ju, J. H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22052619 · Cited by 803
Knee osteoarthritis: pathophysiology and current treatment modalities
Mora, J. C., Przkora, R., & Cruz-Almeida, Y. (2018) · Journal of Pain Research · doi:10.2147/jpr.s154002 · Cited by 574
da Costa, B. R., Reichenbach, S., Keller, N., Nartey, L., Wandel, S., Jüni, P., & Trelle, S. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31744-0 · Cited by 522
RetractedBelk, J. W., Kraeutler, M. J., Houck, D. A., Goodrich, J. A., Dragoo, J. L., & McCarty, E. C. (2021) · The American Journal of Sports Medicine · doi:10.1177/0363546520909397 · Cited by 432
Smith, P. A. (2016) · The American Journal of Sports Medicine · doi:10.1177/0363546515624678 · Cited by 293
Metadata
- Authors
- Bannuru, R. R., Schmid, C. H., Kent, D. M., Vaysbrot, E. E., Wong, J. B., & McAlindon, T. E.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2015-01-06
- Volume
- 162
- Issue
- 1
- Pages
- 46-54
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2129281457
- Cited by
- 623
- References
- 34
- FWCI
- 57.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparative Effectiveness of Pharmacologic Interventions for Knee Osteoarthritis: A Systematic Review and Network Meta-analysis. https://app.cochat.ai/papers/10.7326/m14-1231
- The paper
- Bannuru, R. R., Schmid, C. H., Kent, D. M., Vaysbrot, E. E., Wong, J. B., & McAlindon, T. E. (2015). Comparative Effectiveness of Pharmacologic Interventions for Knee Osteoarthritis: A Systematic Review and Network Meta-analysis. Annals of Internal Medicine. https://doi.org/10.7326/m14-1231
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.