Evidence map›Paper›PMID 40390088›Full record

SynthesisJournal of orthopaedic surgery and research2025

Outcomes of autologous chondrocyte transplantation (ACT) and autologous matrix-induced chondrogenesis (AMIC) in the hip: a systematic review and meta-analysis.

Thomas Walker, Maximilian Dewhurst, Peter Bates

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Thomas WalkerCentre for Trauma Science, Blizard Institute, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK. t.walker@smd22.qmul.ac.uk.ORCID http://orcid.org/0000-0002-6088-996X
Maximilian DewhurstCentre for Trauma Science, Blizard Institute, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK.
Peter BatesCentre for Trauma Science, Blizard Institute, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppropriate treatment of chondral lesions in the hip greatly improves symptoms and reduces the need for early joint replacement in these patients. Whilst the outcomes of Autologous Chondrocyte Transplantation (ACT) and Autologous Matrix Induced Chondrogenesis (AMIC) in the knee have been thoroughly researched, data on these treatments in the hip is comparatively limited.

aimTo evaluate the outcomes of ACT and AMIC in the hip.

methodsFollowing PRISMA guidelines, a literature search was performed using free text and MeSH terms relating to ACT, AMIC, and variations of these terms across 6 databases. This resulted in 506 abstracts, which were screened down to 12 papers which met the eligibility criteria. Weighted means and pooled estimates using a random effects model were used to assess the success of both procedures.

results628 hips were identified within 12 papers. Weighted mean age 35.8 years (18-55 years), weighted mean lesion size 3.3 cm

conclusionBoth techniques produced significant improvements from baseline. Due to the treatment characteristics, we suggest AMIC is a preferable treatment to ACT. Further research is required to assess the limitations of these procedures concerning chondral lesion size and duration of symptom improvement.

Indexed as

ChondrocytesChondrogenesisHip JointAdolescentAdultCartilage, ArticularHumansMiddle AgedTransplantation, AutologousTreatment OutcomeYoung Adult

Identifiers

PMID40390088
PMCPMC12087195

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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.