Evidence map›Paper›PMID 35210873›Full record

ArticleOrthopedic research and reviews2022

Deconstructing the Minimum Clinically Important Difference (MCID).

Janine Molino, Joseph Harrington, Jennifer Racine-Avila, Roy Aaron

Abstract read
In one paragraph

Article in Orthopedic research and reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Pooled it
  3. Cumulative surgeon volume is associated with improved outcomes following hip arthroscopy: A national registry study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Article
  4. Validation of a Patient-Created, Patient-Reported Experience Measure for Inflammatory Bowel Disease in the United Kingdom.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
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  18. Knee osteoarthritis: disease burden, available treatments, and emerging options.Therapeutic advances in musculoskeletal disease · 2024
    Review
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  20. Article
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

4 authors.

Janine MolinoLifespan Biostatistics Core, Rhode Island Hospital, Providence, RI, USA.
Joseph HarringtonDepartment of Orthopedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Jennifer Racine-AvilaDepartment of Orthopedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Roy AaronDepartment of Orthopedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID 0000-0002-0745-2267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe minimal clinically important difference (MCID) is a way of dichotomizing data for assessment of success or failure based on clinically meaningful changes. The magnitude of the MCID is often misunderstood to be a singular quantity applicable across studies. However, substantial differences have been reported among MCIDs for the same outcome measures usually based upon differences extrinsic to the calculation. This study explores the effects of variabilities intrinsic to the calculation of the MCID.

methodsThe MCIDs for two knee replacement patient-reported outcomes measures of pain and function were calculated at 1 year postoperative with an integrative anchor and distribution-based method using external anchor questions and receiver operator characteristic (ROC) curves. The effects upon the magnitude and precision of the MCIDs of varying the anchor questions, the thresholds for success/failure, and the sample sizes were examined.

resultsWide variabilities were observed in both the magnitudes and precision of the MCIDs. The threshold for success had the largest effect on magnitude of pain scores, while the sample size had the largest effect on precision. For function scores, the sample size had the largest effect on magnitude, and the anchor question had the largest effect on precision.

conclusionComparisons among MCIDs are difficult to interpret if elements of the calculations are different and influence the results. While factors extrinsic to the calculations, e.g., study population, trial design, methods of calculation, etc., are known to produce differences in the magnitude of MCIDs, this study shows that more subtle and less obvious factors intrinsic to the calculations have profound effects on both the magnitude and precision of MCIDs. Comparisons among MCIDs should be made with caution and call for greater transparency in reporting intrinsic methods. It is probably advisable for individual studies to calculate their own MCIDs and not rely on published values.

Indexed as

categorical measureclinical improvementoutcome assessment

Identifiers

PMID35210873
PMCPMC8860454

What OpenQuestion holds

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LicenceCC BY-NC
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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.