Evidence map›Paper›PMID 41738364›Full record

Trial reportOrthopaedic surgery2026

Long-Term Efficacy of Arthroscopic Microfracture Combined With Autologous Collagen-Induced Chondrogenesis for Knee Cartilage Defects: A 5-Year Prospective Pilot Randomized Controlled Trial.

Shuofang Ren, Zhuosong Bai, Xin Lu, Yan Zhang, Xu Sun, Rui Tang, Bo Yang, Jun Qian, Guixing Qiu

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Orthopaedic surgery, 2026. 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

9 authors.

Shuofang RenDepartment of Cardiovascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Zhuosong BaiChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xin LuDepartment of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yan ZhangDepartment of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xu SunOperating Room, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Rui TangOperating Room, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Bo YangDepartment of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.ORCID https://orcid.org/0009-0008-3223-9936
Jun QianDepartment of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Guixing QiuDepartment of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Funding

National Natural Science Foundation of China CAMS Innovation Fund for Medical Sciences 2021-I2M-1-052
6 · The paper itself

Abstract

objectivesCartilage defect of the knee joint is a common cause of knee pain and can result in significant functional disability due to its limited capability of spontaneous healing. Existing surgical options-such as microfracture, cartilage or chondrocyte transplantation, and joint replacement-remain limited by inconsistent restoration of durable hyaline cartilage. Autologous collagen-induced chondrogenesis (ACIC), which employs a collagen scaffold, has emerged as a promising single-stage alternative. Nevertheless, high-quality evidence evaluating its long-term efficacy relative to microfracture alone is still lacking. This study investigates the clinical effect of arthroscopic microfracture combined with autologous collagen-induced chondrogenesis for knee cartilage defects over a 5-year follow-up.

methodsTwenty patients with knee cartilage defects were randomized to receive ACIC + microfracture (n = 10) or microfracture alone (MF, n = 10). Outcomes were assessed using Lysholm, VAS, and IKDC scores at baseline, 1 week, 3, 6, 12 months, and 5 years, alongside MRI-based MOCART scoring. Analyses employed linear mixed-effects models with multiplicity correction and effect size reporting.

resultsBoth groups showed significant within-group improvements in Lysholm, VAS, and IKDC over time, but there were no between-group differences and no significant Group × Time interactions, indicating comparable functional recovery. In contrast, the MOCART score showed a significant long-term Group × Time interaction at 5 years (β = 53.1, 95% CI 29.0-77.2, p < 0.001), favoring ACIC + MF. At 5 years, ACIC + MF demonstrated a large structural advantage, although the unadjusted Mann-Whitney p = 0.0196 did not remain significant after multiplicity correction (adjusted p = 0.098).

conclusionACIC + MF resulted in superior long-term structural repair compared with MF, as reflected in MOCART scores, but this did not translate into superior patient-reported outcomes. These findings underscore the divergence between imaging-based repair and clinical function and highlight the need for prospective trials establishing anchor-based MCID and Patient Acceptable Symptom State (PASS) thresholds for MOCART to clarify its clinical significance.

trial registrationChinese National Medical Research Registration and Archival Information System: ChiCTR2400080094.

Indexed as

Arthroplasty, SubchondralArthroscopyCartilage, ArticularChondrogenesisCollagenKnee InjuriesKnee JointAdultFemaleHumansMaleMiddle AgedPilot ProjectsProspective StudiesTransplantation, AutologousTreatment OutcomeCollagenarthroscopyautologous collagen‐induced chondrogenesiscartilage defectknee jointmicrofracture

Identifiers

PMID41738364
PMCPMC13056481

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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.