Minimal Clinically Important Difference of Patient Reported Outcome Measures of Lower Extremity Injuries in Orthopedics
Bibliographic record
Abstract
Purpose: MCID scores for outcome measures are frequently used evidence-based guides to gage meaningful changes. To conduct a systematic review of the quality and content of the the minimal clinically important difference (MCID) relating to 16 patient-rated outcome measures (PROM) used in lower extremity. Methods: We conducted a systematic literature review on articles reporting MCID in lower extremity outcome measures and orthopedics from January 1, 1980, to May 10, 2016. We evaluated MCID of the 16 patient reported outcome measures (PROM) which were Harris Hip Score (HHS), Oxford Hip Score (OHS), Hip Outcome Score (HOS), Hip Disability and Osteoarthritis Outcome Score (HOOS), The International Knee Documentation Committee Subjective Knee Form (IKDC), The Lysholm Scale, The Western Ontario Meniscal Evaluation Tool (WOMET), The Anterior Cruciate Ligament Quality of Life Questionnaire (ACL-QOL), The Lower Extremity Functional Scale (LEFS), The Western Ontario and Mcmaster Universities Index (WOMAC), Knee İnjury And Osteoarthritis Outcome Score (KOOS), Oxford Knee Score (OKS), Kujala Anterior Knee Pain Scale, The Victorian Institute of Sports Assessment Patellar Tendinosis (Jumper’s Knee) (VİSA-P), Tegner Activity Rating Scale, Marx Activity Rating Scale, Foot And Ankle Outcome Score (FAOS), The Foot Function Index (FFI), Foot And Ankle Ability Measure (FAAM), The Foot And Ankle Disability Index Score and Sports Module, Achill Tendon Total Rupture Score(ATRS), The Victorian İnstitute Of Sports Assesment Achilles Questionnaire(VİSA-A), American Orthopaedic Foot and Ankle Society (AOFAS). A search of the PubMed/MEDLINE, PEDro and Cochrane Cen¬tral Register of Controlled Trials and Web of Science databases from the date of inception to May 1, 2016 was conducted. The terms “minimal clinically important difference,” “minimal clinically important change”, “minimal clinically important improvement” “were combined with one of the PROM as mentioned above. Results: A total of 223 abstracts were reviewed and 119 articles chosen for full text review. Thirty articles were included in the final evaluation. The MCID was mostly calculated for WOMAC and frequently reported in knee and hip osteoartritis, knee and hip atrhroplasties, femoraasetabular impingement syndrome and focal cartilage degeneration. In addition, Receiver Operating Characteristic (ROC) analysis was the most used method to report MCID. Conclusions: MCID is an important concept used to determine whether a medical intervention improves perceived outcomes in patients. Despite an abundance of methods reported in the literature, little work in MCID estimation has been done in the PRAM related to lower extremity. There is a need for future studies in this regard.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.086 | 0.270 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.011 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".