Evidence map›Paper›PMID 33649891›Full record

ArticleInternational orthopaedics2021

Two-year clinical outcomes of autologous microfragmented adipose tissue in elderly patients with knee osteoarthritis: a multi-centric, international study.

Alberto Gobbi, Ignacio Dallo, Christopher Rogers, Richard D Striano, K Mautner, Robert Bowers, Michael Rozak, Norma Bilbool, William D Murrell

Abstract read
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In one paragraph

Article in International orthopaedics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Adipose-derived and bone marrow aspirate concentrate injections for osteoarthritis: A scoping review.PM & R : the journal of injury, function, and rehabilitation · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Postprocedure protocols after intraarticular orthobiologic injections-A scoping review.PM & R : the journal of injury, function, and rehabilitation · 2025
    Article
  14. Review
  15. Review
  16. Advanced Non-Operative Interventions for Anterior Knee Pain.Current reviews in musculoskeletal medicine · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Alberto GobbiO.A.S.I Bioresearch Foundation Gobbi Onlus, Milan, Italy.ORCID https://orcid.org/0000-0002-4868-0119
Ignacio DalloO.A.S.I Bioresearch Foundation Gobbi Onlus, Milan, Italy.ORCID https://orcid.org/0000-0003-2744-8342
Christopher RogersSan Diego Orthobiologics Medical Group, San Diego, CA, USA.
Richard D StrianoOptimum Joint, Suffern, NY, USA.ORCID https://orcid.org/0000-0001-6380-4178
K MautnerEmory Sports Medicine Center, Atlanta, GA, USA.ORCID https://orcid.org/0000-0001-8458-0126
Robert BowersEmory Sports Medicine Center, Atlanta, GA, USA.ORCID https://orcid.org/0000-0001-6549-090X
Michael RozakEmory Sports Medicine Center, Atlanta, GA, USA.ORCID https://orcid.org/0000-0003-0728-7393
Norma BilboolOptimum Joint, Suffern, NY, USA.
William D MurrellAbu Dhabi Knee and Sports Medicine, Healthpoint Hospital, Zayed Sports City, Abu Dhabi, United Arab Emirates. doctormurrell@gmail.com.ORCID http://orcid.org/0000-0001-8835-1806
Emory Healthcare · USOASI Bioresearch Foundation · ITWilliam Beaumont Army Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to evaluate the outcomes of autologous microfragmented adipose tissue (MFAT) injection in elderly patients with knee osteoarthritis (OA). We hypothesized that MFAT knee infiltration for the treatment of knee OA would yield good clinical results out to two years follow-up.

methodsMulti-centric, international, open-label study conducted by orthopedic surgery, and/or regenerative medicine facilities utilizing patient registries. Subjects recruited for eligibility. The primary outcome measure was Knee Injury and Osteoarthritis Outcome Score (KOOS). Outcomes and patient factors were compared to baseline, at six, 12, and 24 months. Statistical models were used to assess KOOS subscores and probability of exceeding the Minimally Clinically Important Difference (MCID) or Patient Acceptable Symptom State (PASS), and to assess the effect of the treatment variables on KOOS - Pain.

resultsSeventy-five patients, 120 primary treatments, mean age 69.6 years, (95%CI 68.3-70.9), BMI 28.4 (95%CI 27.3-29.6), with KL grade 2 to 4 knee OA treated with a single MFAT injection. KL grades 2 (15.1%), 3 (56.3%), and 4 (28.6%), with 20.8% of knees having previously undergone surgery. Patients with KL grade 2 disease had the best results in KOOS - Pain (P = 0.001), at six, 12, and 24 months. Including advanced KL grade 3 and 4 osteoarthritis patients, significant functional and quality of life success was seen in 106/120 treatments (88.3%, 66 patients) at all follow-up time points. Fourteen treatments (11.7%, 9 patients) failed prior to the study endpoint.

conclusionThis study shows that a single-dose MFAT injection leads to clinical, functional, and quality of life improvement at two years in elderly patients, in KL grades 2 to 4 of knee osteoarthritis. These findings provide evidence that this treatment modality could be a safe and effective option to other commonly available treatments in carefully selected patients.

Indexed as

Osteoarthritis, KneeAdipose TissueAgedHumansKnee JointQuality of LifeTreatment OutcomeAdipose-derived cell therapyAutologous microfragmented adipose tissueBio-orthopaedicsKnee osteoarthritisMFATOAOrthobiologics

Identifiers

PMID33649891
OpenAlexW3133924611

What OpenQuestion holds

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Registered trials

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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.