The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Therapeutic trajectory following intra-articular hyaluronic acid injection in knee osteoarthritis – meta-analysis
Open accessAbstract
SUMMARY Objective: To evaluate the therapeutic trajectory of intra-articular hyaluronic acid (IAHA) vs placebo for knee osteoarthritis (OA). Design: Our data sources include Medline, EMBASE, CINAHL, BIOSIS, Web of Science, Google Scholar, Cochrane database; hand searched reviews, manuscripts, and, supplements; author contacts for unpublished data. Randomized trials that reported effects of IAHA vs placebo on knee OA were selected based on inclusion criteria. We computed effect sizes for change from baseline at 4, 8, 12, 16, 20 and 24 weeks, using Bayesian random effects model. We performed multivariate analyses adjusting for correlation between time points. Meta-regressions were performed adjusting for potential confounders. Results: The 54 eligible trials included 7545 participants. The conduct and quality of these trials varied in number of aspects. The effect size (ES) favored IAHA by week 4 (0.31; 95% CI 0.17, 0.45), reaching peak at week 8 (0.46; 0.28, 0.65), and then trending downwards, with a residual detectable effect at week 24 (0.21; 0.10, 0.31). This therapeutic trajectory was consistent among the subset of high quality trials and on multivariate analysis adjusting for correlation between time points. Conclusions: Our meta-analysis highlights a therapeutic trajectory of IAHA for knee OA pain over 6 months post-intervention. With this additional perspective, we are able to infer that IAHA is efficacious by 4 weeks, reaches its peak effectiveness at 8 weeks and exerts a residual detectable at 24 weeks. On the other hand, the peak effect size (0.46; 0.28, 0.65), is greater than published effects from other OA analgesics [acetaminophen (ES = 0.13; 0.04, 0.22); NSAIDs (ES = 0.29; 0.22, 0.35); COX-2 inhibitors (ES = 0.44; 0.33, 0.55)]. An effect size above 0.20 is considered to be clinically relevant on an individual patient basis in chronic pain conditions such as knee OA. Thus, its properties could have utility for certain clinical situations, or in combination with other therapies.
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
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Estimating the mean and variance from the median, range, and the size of a sample
Hozo, S. P., Djulbegovic, B., & Hozo, I. (2005) · BMC Medical Research Methodology · doi:10.1186/1471-2288-5-13 · Cited by 9,062
Dworkin, R. H., Turk, D. C., Wyrwich, K. W., Beaton, D., Cleeland, C. S., Farrar, J. T., Haythornthwaite, J. A., Jensen, M. P., Kerns, R. D., Ader, D. N., et al. (2008) · The Journal of Pain · doi:10.1016/j.jpain.2007.09.005 · Cited by 3,471
The Handbook of Research Synthesis.
Light, R. J., Cooper, H., & Hedges, L. V. (1994) · Journal of the American Statistical Association · doi:10.2307/2291021 · Cited by 1,868
OARSI recommendations for the management of hip and knee osteoarthritis
Zhang, W., Nuki, G., Moskowitz, R. W., Abramson, S., Altman, R. D., Arden, N. K., Bierma-Zeinstra, S., Brandt, K. D., Croft, P., Doherty, M., et al. (2010) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2010.01.013 · Cited by 1,700
Imputing missing standard deviations in meta-analyses can provide accurate results
Furukawa, T. A., Barbui, C., Cipriani, A., Brambilla, P., & Watanabe, N. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.06.006 · Cited by 1,568
Intraarticular corticosteroid for treatment of osteoarthritis of the knee
Bellamy, N., Campbell, J., Welch, V., Gee, T. L., Bourne, R., & Wells, G. A. (2006) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005328.pub2 · Cited by 762
Viscosupplementation for the treatment of osteoarthritis of the knee
Bellamy, N., Campbell, J., Welch, V., Gee, T. L., Bourne, R., & Wells, G. A. (2006) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005321.pub2 · Cited by 755
Moreland, L. W. (2003) · Arthritis Research · doi:10.1186/ar623 · Cited by 669
Cited by
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-citationViscosupplementation for Osteoarthritis of the Knee: A Systematic Review and Meta-analysis
Rutjes, A. W. S., Jüni, P., da Costa, B. R., Trelle, S., Nüesch, E., & Reichenbach, S. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-3-201208070-00473 · Cited by 717
Bruyère, O., Honvo, G., Veronese, N., Arden, N. K., Branco, J., Curtis, E. M., Al-Daghri, N. M., Herrero-Beaumont, G., Martel-Pelletier, J., Pelletier, J.-P., et al. (2019) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2019.04.008 · Cited by 695
Bannuru, R. R., Schmid, C. H., Kent, D. M., Vaysbrot, E. E., Wong, J. B., & McAlindon, T. E. (2015) · Annals of Internal Medicine · doi:10.7326/m14-1231 · Cited by 623
Self-citationProgress in intra-articular therapy
Evans, C. H., Kraus, V. B., & Setton, L. A. (2014) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2013.159 · Cited by 584
Metadata
- Authors
- Bannuru, R. R., Natov, N. S., Dasi, U. R., Schmid, C. H., & McAlindon, T. E.
- Venue
- Osteoarthritis and Cartilage
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 19
- Issue
- 6
- Pages
- 611-619
- ISSN
- 1063-4584 (ISSN-L)
- OpenAlex
- W2157031907
- Cited by
- 388
- References
- 61
- FWCI
- 16.24
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Therapeutic trajectory following intra-articular hyaluronic acid injection in knee osteoarthritis – meta-analysis. https://app.cochat.ai/papers/10.1016/j.joca.2010.09.014
- The paper
- Bannuru, R. R., Natov, N. S., Dasi, U. R., Schmid, C. H., & McAlindon, T. E. (2011). Therapeutic trajectory following intra-articular hyaluronic acid injection in knee osteoarthritis – meta-analysis. Osteoarthritis and Cartilage. https://doi.org/10.1016/j.joca.2010.09.014
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.
