Journal Logo

Scientific Articles

Predictors of Successful Treatment 1 Year After Arthroscopic Partial Meniscectomy

Data from the OME Cohort

 Cleveland Clinic Sports Health

Author Information
doi: 10.2106/JBJS.OA.19.00044
  • Open
  • Disclosures


Nearly 1 million knee arthroscopic procedures are performed in the United States each year, and arthroscopic partial meniscectomy (APM) is the most common1. Some randomized trials have shown that APM is no better than sham surgery2 or conservative treatment that includes physical therapy for treatment of a symptomatic meniscal tear3-5. Other studies have shown more treatment failures in patients who undergo conservative treatment, with the treatment failures including subjects who cross over to APM from nonoperative treatment arms4,6-8.

Nevertheless, APM continues to be performed at a high rate, so it is important to understand the patient factors that are associated with a favorable outcome. These factors include younger age, less osteoarthritis, shorter duration of symptoms, and lower body mass index (BMI); however, most studies were retrospective and did not include enough subjects to perform multivariable analysis9,10. Understanding the predictors of failure to relieve pain or improve function and of worse outcome is important to provide patients and clinicians with the best evidence available to guide shared decision-making on treatment.

Our study had the aims of evaluating predictors of pain and function 1 year after APM in a large, prospective cohort from multiple facilities in an academic hospital system; of evaluating the predictors of achieving a successful improvement in patient-reported outcomes at 1 year in this patient cohort; and of developing a nomogram based on the model for successful improvement that can be used for shared decision-making prior to APM. We hypothesized that cartilage damage and meniscal root tears would be associated with failure to relieve pain or improve function along with worse outcomes in these patients.

Materials and Methods

Study Design and Setting

Patients undergoing knee arthroscopy at the Cleveland Clinic were prospectively enrolled in the OrthoMiDaS Episode of Care (OME) cohort as part of the standard of care at our institution. The OME is a data collection system developed at the Cleveland Clinic that prospectively captures patient and surgeon data at baseline and patient data at a 1-year follow-up.


Patients were eligible for inclusion in the analysis cohort if they were ≥40 years of age, underwent APM, and did not undergo concomitant ligament reconstruction, meniscal transplant, or cartilage-resurfacing procedures. Patients were excluded if they had undergone a bilateral surgical procedure.

Description of Treatment

In general, our surgeons followed a treatment approach informed by results of the MeTeOR (Meniscal Tear in Osteoarthritis Research) randomized controlled trial8: patients with a symptomatic medial meniscal tear and mechanical symptoms were referred to physical therapy, and patients who did not improve after physical therapy were indicated for surgical treatment. Patients with >50% joint space narrowing (equivalent to Kellgren-Lawrence grade 4) in the symptomatic compartment were not considered surgical candidates. Patients with a locked knee or a displaced portion of meniscal tissue would typically undergo a surgical procedure before completing a course of physical therapy. We did not monitor preoperative care as a part of this study. Surgical treatment included arthroscopy with debridement of an unstable meniscus and articular cartilage tissue.

Aftercare and Follow-up

Patients were referred to physical therapy after the surgical procedure, but we did not collect data with regard to the number of therapy visits or adherence to home exercise programs. Patients were administered follow-up questionnaires at 1 year postoperatively.

Variables and Outcomes Measures

Baseline patient questionnaires were administered on tablet computers on the day of the surgical procedure and included demographic characteristics (age, sex, years of education), general health data (height, weight, smoking status), and patient-reported outcome measures (Veterans RAND 12 [VR-12] and Knee injury and Osteoarthritis Outcome Score [KOOS] Pain subscale, Physical Function Short Form [KOOS-PS], and knee-related Quality of Life [KOOS QOL]). The 3 KOOS scores consist of a total of 20 items that are transformed to a 0-to-100 scale, with a KOOS Pain score of 100 representing no pain, a KOOS QOL score of 100 representing normal quality of life, and a KOOS-PS score of 0 representing no impairment (normal function)11-14. The VR-12 consists of 12 items that assess health-related quality of life. The VR-12 Physical Component Score (PCS) emphasizes items about physical functioning and pain, and the VR-12 Mental Component Score (MCS) emphasizes items about mental health and social functioning. The population norm for the VR-12 PCS and VR-12 MCS is 50, with higher scores representing better health15,16.

Surgeon questionnaires were collected on smartphones and included articular cartilage on 6 surfaces (patella, trochlea, medial femoral condyle, medial tibial plateau, lateral femoral condyle, and lateral tibial plateau) graded by a modified Outerbridge classification (grade 0: normal, grade 1: softening, grade 2: fissures and superficial changes, grade 3: fragmentation and deep changes, and grade 4: exposed bone)11,12, meniscal tear pattern (oblique or flap, horizontal, longitudinal, radial, displaced bucket-handle, root, or complex tear)13, and grading of synovitis (reactive synovitis present or absent).

Patient follow-up questionnaires including the same patient-reported outcomes were collected at a minimum of 1 year postoperatively. Patients were contacted by a combination of email, telephone call, and mail.

Study data were collected and managed using REDCap electronic data capture tools4.

Statistical Analysis

The primary predictors of outcome included articular cartilage status and meniscal tear type. Categories were combined a priori to make predictors more clinically relevant, to preserve degrees of freedom in the analysis, and to avoid including rare predictors. We classified articular cartilage status for the medial, lateral, and patellofemoral compartments according to the following categories. A normal compartment had no grade-3 or grade-4 lesions on either cartilage surface, a unipolar compartment had a grade-3 or 4 lesion on either the femur or the tibia (medial and lateral compartments) or on the patella (patellofemoral compartment), and a bipolar compartment had grade-3 or 4 cartilage lesions on both cartilage surfaces. We classified meniscal tears as either medial root tears, other medial tears, or lateral tears because we did not have enough cases to analyze each type of tear as a predictor. We classified reactive synovitis as present or absent. Significance was set at p < 0.05.

In addition to the meniscus and articular cartilage variables, we also included the following covariates in the models: age, sex, BMI, race, smoking status, history of a surgical procedure in the index knee, years of education, VR-12 MCS, and baseline score (the model for KOOS Pain included baseline KOOS Pain as a covariate, the model for KOOS-PS included baseline KOOS-PS as a covariate, and the response to treatment model included baseline KOOS Pain as a covariate).

We performed multivariable statistical analysis in 3 phases: (1) the mean improvement in patient-reported outcome measures was assessed using the paired Wilcoxon signed-rank test for each patient-reported outcome measure, (2) an analysis of continuous outcomes was performed to determine the predictors of improvement in patient-reported outcomes from baseline to the 1-year follow-up, and (3) an analysis of response to treatment was performed to determine the predictors of a successful improvement in either pain or function at the 1-year follow-up. All covariates described above were specified a priori to be included in the full models for each outcome to enable adequate adjustment for clinically relevant confounders. Variable reduction was only performed if rules with regard to the ratio between the degrees of freedom of the observations and number of events, according to Harrell, were violated17.

Continuous Outcome Analysis

Multivariable statistical models were built to predict the improvement score in KOOS Pain, KOOS QOL, KOOS-PS, and VR-12. Ordinary linear regression was used to model the change scores. The assumptions of normally distributed residuals and a constant variance were assessed and were verified graphically to ensure model adequacy. Variable reduction was not performed for continuous outcomes because Harrell’s rule of thumb for ordinary regression suggests 10 observations per model degree of freedom, which was satisfied a priori17.

Response to Treatment Analysis

Successful response to treatment was defined as an improvement of 10 points in either KOOS Pain or KOOS-PS. A multivariable logistic regression model was constructed to determine predictors of successful treatment. Clinically driven candidate variables were selected to be tested for removal in the event of overfitting by the full model to ensure that clinically important and significant variables were kept while reasonably satisfying degree of freedom to event ratios. The Akaike information criterion (AIC) was used to compare the full model and the reduced model. Candidate variables were removed if a decrease in the AIC was observed.

Regression Analytics

We used QQ (quantile-quantile) plots to assess the assumption of residual normality and compared fitted plots with plots of the residuals to assess the assumption of a constant variance. We calculated bootstrap-validated R2 values for each model.


Study Population

From February 2015 until July 2016, 665 patients were enrolled, and 486 patients (73%) completed questionnaires at the 1-year follow-up. Additional details of enrollment and exclusions are shown in Figure 1.

Fig. 1
Fig. 1:
Enrollment and exclusions flowchart.

The mean age was 55 years, 45.5% of patients were female, and the mean BMI was 30 kg/m2. Seventy percent of patients had medial meniscal tears (7% were root tears), 14% had lateral meniscal tears, and 16% had both medial and lateral meniscal tears. Twenty-eight percent of patients had normal articular cartilage in all 3 compartments. Table I shows additional baseline characteristics.

TABLE I - Baseline Characteristics of the Cohort
Variable Included (N = 486) Lost to Follow-up (N = 179)
Age*(yr) 55 (49 to 62) 52 (47 to 58.5)
 Male 265 (54.5%) 105 (58.7%)
 Female 221 (45.5%) 74 (41.3%)
BMI*(kg/m 2 ) 30.1 (26 to 34.5) 30.2 (26.6 to 33.8)
Education*(yr) 15.5 (12 to 16) 14 (12 to 16)
Smoking status
 Never 289 (59.5%) 91 (50.8%)
 Quit 161 (33.1%) 54 (30.2%)
 Current 36 (7.4%) 34 (19.0%)
Root tear
 No 450 (92.6%) 174 (97.2%)
 Yes 36 (7.4%) 5 (2.8%)
Medial meniscal tear type
 None 66 (13.6%) 37 (20.7%)
 Oblique or flap 61 (12.6%) 12 (6.7%)
 Longitudinal 12 (2.5%) 3 (1.7%)
 Bucket-handle 12 (2.5%) 5 (2.8%)
 Radial 40 (8.2%) 23 (12.8%)
 Root 32 (6.6%) 3 (1.7%)
 Horizontal 11 (2.3%) 2 (1.1%)
 Complex 252 (51.9%) 94 (52.5%)
Lateral meniscal tear type
 None 333 (68.5%) 118 (65.9%)
 Oblique or flap 14 (2.9%) 3 (1.7%)
 Longitudinal 6 (1.2%) 2 (1.1%)
 Bucket-handle 6 (1.2%) 6 (3.4%)
 Radial 10 (2.1%) 7 (3.9%)
 Root 4 (0.8%) 2 (1.1%)
 Horizontal 13 (2.7%) 1 (0.6%)
 Complex 100 (20.6%) 40 (22.3%)
Medial cartilage
 Normal 233 (47.9%) 96 (53.6%)
 Bipolar lesions 59 (12.1%) 22 (12.3%)
 Unipolar lesion 194 (39.9%) 61 (34.1%)
Lateral cartilage
 Normal 378 (77.8%) 144 (80.4%)
 Bipolar lesions 28 (5.8%) 9 (5.0%)
 Unipolar lesion 80 (16.5%) 26 (14.5%)
Patellofemoral cartilage
 Normal 247 (50.8%) 101 (56.4%)
 Bipolar lesions 107 (22.0%) 30 (16.8%)
 Unipolar lesion 132 (27.2%) 48 (26.8%)
 No 411 (84.6%) 157 (87.7%)
 Yes 75 (15.4%) 22 (12.3%)
Prior ipsilateral surgery
 No 419 (86.2%) 156 (87.2%)
 Yes 67 (13.8%) 23 (12.8%)
 VR-12 MCS 55.8 (46.5 to 62.5) 54.2 (42.7 to 61.7)
 KOOS Pain 47.2 (36.1 to 61.1) 41.7 (30.6 to 52.8)
 KOOS-PS 42 (35.3 to 54.4) 48.5 (40.3 to 57.9)
 KOOS QOL 31.2 (18.8 to 43.8) 25 (12.5 to 37.5)
 VR-12 PCS 32.3 (25.5 to 39.2) 27.8 (22.9 to 37.5)
*The values are given as the median, with the interquartile range in parentheses.
The values are given as the number of patients, with the percentage in parentheses.

Overall Improvement

The median VR-12 PCS improved from 32.3 points preoperatively to 44.5 points postoperatively, the median KOOS Pain subscore improved from 47.2 points preoperatively to 80.6 points postoperatively, the median KOOS QOL improved from 31.3 points preoperatively to 62.5 points postoperatively, and the median KOOS-PS improved from 42.0 points preoperatively to 27.5 points postoperatively. These were all clinically important and significant improvements (p < 0.001) (Table II).

TABLE II - Baseline and 1-Year Follow-up KOOS Subscale Scores and VR-12 PCS
Outcome Score Baseline* 1-Year Follow-up* P Value
KOOS Pain 47.2 (36.1 to 61.1) 80.6 (63.9 to 91.7) <0.001
KOOS-PS 42.0 (35.3 to 54.4) 27.5 (14.8 to 37.0) <0.001
KOOS QOL 31.3 (18.8 to 43.8) 62.5 (43.8 to 81.3) <0.001
VR-12 PCS 32.3 (25.5 to 39.2) 44.5 (34.9 to 52.8) <0.001
*The values are given as the median, with the interquartile range in parentheses.
The lower number is indicative of better physical function.

Multivariable Regression

Multivariable modeling shows that baseline score was the strongest predictor of improvement in the 1-year follow-up scores for all outcome measures (VR-12 PCS, KOOS Pain, KOOS-PS, and KOOS QOL), with a lower baseline score predicting a larger improvement. For demographic factors, subjects with lower BMI had more improvement for all outcomes, subjects with younger age had more improvement in KOOS-PS but not in other outcomes, and subjects with more education had more improvement in KOOS Pain but not in other outcomes. Patient sex was not a significant predictor of improvement. Current smoking, a modifiable risk factor, predicted less improvement for all outcomes except KOOS-PS. Higher VR-12 MCS at baseline predicted more improvement for all outcome measures except KOOS QOL. For intra-articular findings, bipolar grade-3 or 4 medial compartment cartilage lesions predicted less improvement for all outcome measures, a lateral meniscal tear predicted less improvement for VR-12 PCS but not for other outcomes, and a prior surgical procedure on the index knee predicted less improvement for KOOS Pain but not for other outcomes. Lateral articular cartilage status, patellofemoral articular cartilage status, synovitis, and a medial meniscal tear were not significant predictors of improvement. The coefficients and p values for all outcomes and predictors are shown in Table III. The bootstrap-validated R2 values were 0.25 for VR-12 PCS, 0.26 for KOOS Pain, 0.31 for KOOS-PS, and 0.16 for KOOS QOL.

TABLE III - Predictors of Change Scores for the Proportional Odds Logistic Regression Model
Coefficient* P Value Coefficient* P Value Coefficient* P Value Coefficient* P Value
Age −0.1 ± 0.05 0.06 −0.09 ± 0.1 0.38 −0.19 ± 0.09 0.04 0.03 ± 0.13 0.79
Female sex −0.05 ± 0.91 0.95 −1.39 ± 1.78 0.43 −1.53 ± 1.62 0.35 −2.97 ± 2.27 0.19
BMI −0.3 ± 0.07 <0.01 −0.42 ± 0.13) <0.01 −0.35 ± 0.12 <0.01 −0.49 ± 0.16 <0.01
Years of education 0.26 ± 0.16 0.11 0.65 ± 0.32) 0.04 0.55 ± 0.29 0.06 0.43 ± 0.4 0.29
Smoking status
 Quit 0.25 ± 0.96 0.8 2.58 ± 1.85 0.16 2.38 ± 1.7 0.16 1.75 ± 2.37 0.46
 Current −4.56 ± 1.72 0.01 −9.21 ± 3.39 0.01 −5.73 ± 3.09 0.06 −8.93 ± 4.27 0.04
Baseline VR-12 MCS 0.15 ± 0.04 <0.01 0.2 ± 0.08 0.01 0.22 ± 0.07 <0.01 0.19 ± 0.1 0.07
Medial meniscal tear
 Root −0.7 ± 2.3 0.76 −7.03 ± 4.46 0.12 −3.25 ± 4.09 0.43 −10.48 ± 5.78 0.07
 Other 1.41 ± 1.63 0.39 0.45 ± 3.16 0.89 −0.22 ± 2.93 0.94 −0.24 ± 4.05 0.95
Lateral meniscal tear −3.08 ± 1.19 0.01 −4.08 ± 2.31 0.08 −3.95 ± 2.15 0.07 −4.25 ± 2.99 0.16
Medial cartilage lesion
 Unipolar −0.22 ± 0.96 0.82 −2.26 ± 1.87 0.23 −1.25 ± 1.73 0.47 −3.07 ± 2.4 0.20
 Bipolar −3.1 ± 1.51 0.04 −7.29 ± 2.94 0.01 −7.43 ± 2.7 0.01 −10.66 ± 3.76 <0.01
Lateral cartilage lesion
 Unipolar −0.94 ± 1.26 0.46 −2.04 ± 2.46 0.41 −2.9 ± 2.27 0.20 −4.15 ± 3.15 0.19
 Bipolar 1.87 ± 2.01 0.35 −2.23 ± 3.89 0.57 −1.68 ± 3.62 0.64 0.07 ± 4.98 0.99
Patellofemoral cartilage lesion
 Unipolar 1.19 ± 1.03 0.25 3.59 ± 2.02 0.08 0.46 ± 1.85 0.80 2.58 ± 2.57 0.32
 Bipolar 0.11 ± 1.21 0.93 1.15 ± 2.35 0.62 −1.52 ± 2.16 0.48 −1.08 ± 3.01 0.72
Synovitis 1.01 ± 1.23 0.41 3.65 ± 2.4 0.13 1.25 ± 2.2 0.57 2.08 ± 3.07 0.50
Prior ipsilateral surgery −0.53 ± 1.33 0.69 −6.68 ± 2.59 0.01 −3.15 ± 2.36 0.18 −6.53 ± 3.31 0.05
Baseline score −0.62 ± 0.05 <0.01 −0.71 ± 0.05 <0.01 −0.76 ± 0.05 <0.01 −0.62 ± 0.07 <0.01
*The values are given as the coefficient and the standard error.

Multivariable Modeling of Predictors of 10-Point Improvement in KOOS Pain or KOOS-PS

Subjects with a 10-point improvement in KOOS Pain or KOOS-PS were considered to have a successful treatment. Eighty-three percent of patients in the cohort had a successful outcome based on these criteria. The odds of successful treatment were lower in patients with a medial meniscal root tear, a lateral meniscal tear, or a higher baseline KOOS Pain score. Table IV shows odds ratios (ORs), 95% confidence intervals (CIs), and p values for variables included in the model. Figure 2 is a nomogram that demonstrates the relative importance of each variable in determining the probability of successful treatment and allows the reader to calculate the probability of successful treatment for individual patients.

TABLE IV - ORs for Successful Treatment, Defined as a 10-Point Improvement in Either KOOS Pain or KOOS-PS
Variable OR* P Value
Age 0.98 (0.95 to 1.01) 0.219
Smoking status
 Never Reference
 Quit 1.45 (0.79 to 2.66) 0.227
 Current 0.49 (0.19 to 1.26) 0.140
Baseline VR-12 MCS 1.02 (1 to 1.05) 0.072
Tear status
 Medial tear not involving root Reference
 Medial root tear 0.27 (0.11 to 0.66) 0.004
 Lateral tear only 0.42 (0.2 to 0.9) 0.025
 Medial and lateral tears 0.32 (0.17 to 0.61) 0.001
Medial cartilage
 Normal Reference
 Bipolar lesions 0.54 (0.24 to 1.21) 0.134
 Unipolar lesion 0.67 (0.38 to 1.19) 0.172
Prior ipsilateral surgical procedure 0.52 (0.26 to 1.06) 0.072
Baseline score 0.96 (0.94 to 0.97) <0.001
*The values are given as the OR, with the 95% CI in parentheses.

Fig. 2
Fig. 2:
Nomogram for the probability of successful treatment, defined as improvement by at least 10 points in either KOOS Pain or KOOS-PS.


We demonstrated, in a prospective cohort study of 486 patients undergoing APM, after adjusting for potential confounding factors, that patients with an isolated medial meniscal tear without damage to the medial meniscal root or to the lateral meniscus had greater odds of clinically important improvement at the 1-year follow-up compared with other patients. We also showed that additional factors including age, smoking status, VR-12 MCS, medial compartment articular cartilage status, and a prior surgical procedure were important for predicting successful improvement even though the individual variables were not significant in the model. To our knowledge, this represents the largest cohort to date of APM cases with prospectively collected data and multivariable analysis of successful improvement. These findings are quite useful in counseling patients who are considering APM, especially those with a lateral meniscal tear or a medial meniscal root tear, and can potentially be used in a computerized clinical prediction tool during surgical decision-making.

Our finding of an overall improvement in patient-reported outcomes after APM is consistent with data from randomized trials of APM compared with nonoperative treatment. In a systematic review of 6 randomized trials (in which data from 5 trials were analyzed) comparing APM with nonoperative treatment, van de Graaf et al.18 showed that both the operative and nonoperative groups had clinically important and significant improvement in physical function and pain according to various patient-reported outcome measures at 6 months and no significant change from 6 months to 1 year.

Kamimura et al. evaluated 130 knees in 123 subjects using multivariable analysis, and a radial tear of the midsegment and a flap tear were both predictors of successful outcome; other tear types, including horizontal, complex, root, and minor tears, were not10. These findings support our finding that subjects without a medial meniscal root tear have a better chance of a successful outcome. Several authors have reported their outcomes after medial meniscal root repair, which aims to address this problem19-22.

We also performed a multivariable analysis of predictors of change, and the following factors predicted a significant improvement in at least 1 outcome measure: lower BMI, younger age, more education, currently not smoking, higher VR-12 MCS, absence of bipolar cartilage lesions in the medial compartment, absence of a lateral meniscal tear, and a prior surgical procedure in the knee of interest. Of particular interest are the potentially modifiable risk factors that we identified, which include BMI, VR-12 MCS (if related to a treatable neuropsychiatric condition), and smoking status. The impact of interventions to address these modifiable factors warrants further study.

In a secondary analysis of the ChAMP (Chondral Lesions and Meniscus Procedures) randomized controlled trial, obesity was identified as a risk factor for worse outcomes, which is consistent with our finding that higher BMI was associated with worse outcomes for all patient-reported outcomes1. Another secondary analysis of the ChAMP trial identified unstable chondral lesions requiring debridement as a risk factor for worse outcomes. Although we demonstrated that bipolar medial compartment cartilage lesions predicted worse outcomes, we did not measure whether articular cartilage lesions were stable or unstable23.

A systematic review of outcomes after APM in 4,250 patients and 32 studies, including both prospective and retrospective data, concluded that the following factors were associated with worse outcomes: presence of radiographic knee osteoarthritis on preoperative radiographs, symptom duration longer than 1 year, and resecting >50% of meniscal tissue or leaving a damaged meniscal rim. Eijgenraam et al. also concluded that acute or chronic onset of symptoms, sex, tear type, and activity level were not associated with worse outcomes; they found conflicting evidence with regard to age, chondral damage, BMI, and leg alignment9. These findings support our findings of worse medial compartment osteoarthritis being associated with worse outcomes, but demonstrate that the heterogeneity between various studies makes a comparison of results problematic.

In a systematic review that evaluated 20 articles for the annual risk of undergoing total knee arthroplasty after APM, Winter et al. calculated the annual rate to be approximately 2% overall, but the rate increased to 3.9% in patients >50 years of age and 4.1% in patients with worse osteoarthritis at the time of the surgical procedure. Although we did not measure total knee arthroplasty as an outcome in our cohort, these findings are consistent with our evidence that patients with more chondral damage had worse outcomes24.

Liebensteiner et al. showed in a multivariable analysis of 216 subjects after APM that more cartilage degeneration, but not age, was associated with worse outcomes on the Short Form-36 (SF-36)25.

A limitation of our study was that we did not collect certain baseline factors hypothesized to have an effect on outcome. These included the amount of meniscal resection, the presence of osteoarthritic changes on radiographs, and increased duration of symptoms. In the MeTeOR study, the amount of meniscal resection was not predictive of outcome8. The presence of osteoarthritic changes on radiographs has been shown to be insensitive to actual articular cartilage chondromalacia, so we believe that our arthroscopic assessment on each of the 6 surfaces is more important13. Another limitation was that we collected follow-up data at a single time point at 1 year postoperatively. However, 1 year after APM is a clinically relevant time point for patients undergoing APM to determine the initial response to the surgical procedure, and the long-term survival of this initial improvement warrants further study8.

In conclusion, 83% of patients improved by at least 10 points in pain and function after APM. Patients with a medial meniscal root tear or a lateral meniscal tear had decreased odds of a clinically important improvement in pain or function after APM. Increased BMI, smoking, and worse VR-12 MCS are potentially modifiable risk factors that predict less improvement after APM and warrant further study.

Note: The Cleveland Clinic Sports Health authors for this work include Morgan H. Jones, MD, MPH, Lutul D. Farrow, MD, Anthony Miniaci, MD, FRCSC, Richard D. Parker, MD, James T. Rosneck, MD, Paul M. Saluan, MD, Kim L. Stearns, MD, Greg J. Strnad, MS, James S. Williams, MD, Alexander Zajichek, MS, and Kurt P. Spindler, MD.


1. Kluczynski MA, Marzo JM, Wind WM, Fineberg MS, Bernas GA, Rauh MA, Zhou Z, Zhao J, Bisson LJ. The effect of body mass index on clinical outcomes in patients without radiographic evidence of degenerative joint disease after arthroscopic partial meniscectomy. Arthroscopy. 2017 Nov;33(11):2054-63.e10. Epub 2017 Sep 29.
2. Sihvonen R, Paavola M, Malmivaara A, Itälä A, Joukainen A, Nurmi H, Kalske J, Järvinen TL; Finnish Degenerative Meniscal Lesion Study (FIDELITY) Group. Arthroscopic partial meniscectomy versus sham surgery for a degenerative meniscal tear. N Engl J Med. 2013 Dec 26;369(26):2515-24.
3. Gauffin H, Tagesson S, Meunier A, Magnusson H, Kvist J. Knee arthroscopic surgery is beneficial to middle-aged patients with meniscal symptoms: a prospective, randomised, single-blinded study. Osteoarthritis Cartilage. 2014 Nov;22(11):1808-16. Epub 2014 Jul 30.
4. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. Epub 2008 Sep 30.
5. Yim JH, Seon JK, Song EK, Choi JI, Kim MC, Lee KB, Seo HY. A comparative study of meniscectomy and nonoperative treatment for degenerative horizontal tears of the medial meniscus. Am J Sports Med. 2013 Jul;41(7):1565-70. Epub 2013 May 23.
6. Herrlin SV, Wange PO, Lapidus G, Hållander M, Werner S, Weidenhielm L. Is arthroscopic surgery beneficial in treating non-traumatic, degenerative medial meniscal tears? A five year follow-up. Knee Surg Sports Traumatol Arthrosc. 2013 Feb;21(2):358-64. Epub 2012 Mar 23.
7. Kise NJ, Risberg MA, Stensrud S, Ranstam J, Engebretsen L, Roos EM. Exercise therapy versus arthroscopic partial meniscectomy for degenerative meniscal tear in middle aged patients: randomised controlled trial with two year follow-up. BMJ. 2016 Jul 20;354:i3740.
8. Katz JN, Brophy RH, Chaisson CE, de Chaves L, Cole BJ, Dahm DL, Donnell-Fink LA, Guermazi A, Haas AK, Jones MH, Levy BA, Mandl LA, Martin SD, Marx RG, Miniaci A, Matava MJ, Palmisano J, Reinke EK, Richardson BE, Rome BN, Safran-Norton CE, Skoniecki DJ, Solomon DH, Smith MV, Spindler KP, Stuart MJ, Wright J, Wright RW, Losina E. Surgery versus physical therapy for a meniscal tear and osteoarthritis. N Engl J Med. 2013 May 2;368(18):1675-84. Epub 2013 Mar 18.
9. Eijgenraam SM, Reijman M, Bierma-Zeinstra SMA, van Yperen DT, Meuffels DE. Can we predict the clinical outcome of arthroscopic partial meniscectomy? A systematic review. Br J Sports Med. 2018 Apr;52(8):514-21. Epub 2017 Nov 28.
10. Kamimura M, Umehara J, Takahashi A, Mori Y, Chiba D, Kuwahara Y, Itoi E. Meniscal tear morphology independently affects pain relief following arthroscopic partial meniscectomy in middle-aged patients. Knee Surg Sports Traumatol Arthrosc. 2019 Aug;27(8):2460-7. Epub 2018 Oct 29.
11. Marx RG, Connor J, Lyman S, Amendola A, Andrish JT, Kaeding C, McCarty EC, Parker RD, Wright RW, Spindler KP; Multicenter Orthopaedic Outcomes Network. Multirater agreement of arthroscopic grading of knee articular cartilage. Am J Sports Med. 2005 Nov;33(11):1654-7. Epub 2005 Aug 10.
12. Outerbridge RE. The etiology of chondromalacia patellae. J Bone Joint Surg Br. 1961 Nov;43-B:752-7.
13. Duncan ST, Khazzam MS, Burnham JM, Spindler KP, Dunn WR, Wright RW. Sensitivity of standing radiographs to detect knee arthritis: a systematic review of Level I studies. Arthroscopy. 2015 Feb;31(2):321-8. Epub 2014 Oct 11.
14. Davis AM, Perruccio AV, Canizares M, Tennant A, Hawker GA, Conaghan PG, Roos EM, Jordan JM, Maillefert JF, Dougados M, Lohmander LS. The development of a short measure of physical function for hip OA HOOS-Physical Function Shortform (HOOS-PS): an OARSI/OMERACT initiative. Osteoarthritis Cartilage. 2008 May;16(5):551-9. Epub 2008 Mar 4.
15. Jones D, Kazis L, Lee A, Rogers W, Skinner K, Cassar L, Wilson N, Hendricks A. Health status assessments using the Veterans SF-12 and SF-36: methods for evaluating otucomes in the Veterans Health Administration. J Ambul Care Manage. 2001 Jul;24(3):68-86.
16. Selim AJ, Rogers W, Fleishman JA, Qian SX, Fincke BG, Rothendler JA, Kazis LE. Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12). Qual Life Res. 2009 Feb;18(1):43-52. Epub 2008 Dec 3.
17. Harrell FE. Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis. 2nd ed. Springer; 2015. Sample size, overfitting, and limits on number of predictors; p 73.
18. van de Graaf VA, Wolterbeek N, Mutsaerts EL, Scholtes VA, Saris DB, de Gast A, Poolman RW. Arthroscopic partial meniscectomy or conservative treatment for nonobstructive meniscal tears: a systematic review and meta-analysis of randomized controlled trials. Arthroscopy. 2016 Sep;32(9):1855-65.e4. Epub 2016 Jul 27.
19. Seo HS, Lee SC, Jung KA. Second-look arthroscopic findings after repairs of posterior root tears of the medial meniscus. Am J Sports Med. 2011 Jan;39(1):99-107. Epub 2010 Nov 3.
20. Moon HK, Koh YG, Kim YC, Park YS, Jo SB, Kwon SK. Prognostic factors of arthroscopic pull-out repair for a posterior root tear of the medial meniscus. Am J Sports Med. 2012 May;40(5):1138-43. Epub 2012 Feb 7.
21. Chung KS, Noh JM, Ha JK, Ra HJ, Park SB, Kim HK, Kim JG. Survivorship analysis and clinical outcomes of transtibial pullout repair for medial meniscus posterior root tears: a 5- to 10-year follow-up study. Arthroscopy. 2018 Feb;34(2):530-5. Epub 2017 Nov 26.
22. Ahn JH, Jeong HJ, Lee YS, Park JH, Lee JW, Park JH, Ko TS. Comparison between conservative treatment and arthroscopic pull-out repair of the medial meniscus root tear and analysis of prognostic factors for the determination of repair indication. Arch Orthop Trauma Surg. 2015 Sep;135(9):1265-76. Epub 2015 Jul 5.
23. Bisson LJ, Kluczynski MA, Wind WM, Fineberg MS, Bernas GA, Rauh MA, Marzo JM, Zhou Z, Zhao J. How does the presence of unstable chondral lesions affect patient outcomes after partial meniscectomy? The ChAMP randomized controlled trial. Am J Sports Med. 2018 Mar;46(3):590-7. Epub 2017 Dec 27.
24. Winter AR, Collins JE, Katz JN. The likelihood of total knee arthroplasty following arthroscopic surgery for osteoarthritis: a systematic review. BMC Musculoskelet Disord. 2017 Oct 4;18(1):408.
25. Liebensteiner MC, Nogler M, Giesinger JM, Lechner R, Lenze F, Thaler M. Cartilage degeneration and not age influences the health-related quality of life outcome after partial meniscectomy. Knee Surg Sports Traumatol Arthrosc. 2015 Jan;23(1):26-31. Epub 2013 Mar 24.

Supplemental Digital Content

Copyright © 2020 The Authors. Published by The Journal of Bone and Joint Surgery, Incorporated. All rights reserved.