Evidence map›Paper›PMID 30203213›Full record

SynthesisCurrent rheumatology reports2018

Evaluating the Current Literature on Treatments Containing Adipose-Derived Stem Cells for Osteoarthritis: a Progress Update.

Chanuka D S Ranmuthu, Charindu K I Ranmuthu, Wasim S Khan

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Current rheumatology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Stem cell injections for osteoarthritis of the knee.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Stromal vascular fraction therapy for knee osteoarthritis: a systematic review.Therapeutic advances in musculoskeletal disease · 2022
    Review
  8. Article
  9. Article
  10. Review
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

3 authors.

Chanuka D S RanmuthuUniversity of Cambridge, Cambridge, UK.
Charindu K I RanmuthuUniversity of Cambridge, Cambridge, UK.
Wasim S KhanUniversity of Cambridge, Cambridge, UK. wasimkhan@doctors.org.uk.

Funding

Medical Research Council MC_PC_12009
6 · The paper itself

Abstract

purpose of reviewRecent studies have investigated the effect of treatments containing adipose-derived mesenchymal stem cells (ADMSCs) on human osteoarthritis. These have mostly used biologic adjuvants which may influence results. Thus, the purpose of this systematic review is to evaluate the current literature on these treatments when used in isolation. RECENT

findingsFive studies in this review used cultured ADMSCs, while four studies used stromal vascular fraction and three used micro-fragmented adipose tissue to deliver ADMSCs. No studies reported serious treatment-related adverse effects and all reported improvements in clinical measures for at least one dose. This was not necessarily reflected in imaging evaluations nor were improvements always maintained. Current low-level evidence is limited due to variability in study methodology but indicates that treatments containing ADMSCs, when used in isolation, are safe and have the potential to reduce pain and improve function. Randomized controlled trials are now needed.

Indexed as

Evidence-Based MedicineHumansInjections, Intra-ArticularMesenchymal Stem CellsMesenchymal Stem Cell TransplantationOsteoarthritisTreatment OutcomeAdipose tissueCartilage defectKneeMesenchymal stem cellsOsteoarthritis

Identifiers

What OpenQuestion holds

Textmetadata
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.