Evidence map›Paper›PMID 34006025›Full record

ArticleBMJ open2021

Clinicians' heuristic assessments of radiographs compared with Kellgren-Lawrence and Ahlbäck ordinal grading: an exploratory study of knee radiographs using paired comparisons.

Mads Møller Pedersen, Kristian Breds Geoffroy Mongelard, Anne Mørup-Petersen, Karl Bang Christensen, Anders Odgaard

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Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

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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

5 authors at 2 institutions in 1 country.

Mads Møller PedersenSection of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
Kristian Breds Geoffroy MongelardDepartment of Radiology, Copenhagen University Hospital Herlev-Gentofte, Copenhagen, Denmark.
Anne Mørup-PetersenDepartment of Orthopedic Surgery, Copenhagen University Hospital Herlev-Gentofte, Copenhagen, Denmark.
Karl Bang ChristensenSection of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
Anders OdgaardDepartment of Orthopedic Surgery, Rigshospitalet - Copenhagen, University Hospital, Copenhagen, Denmark anders.odgaard@regionh.dk.
University of Copenhagen · DKGentofte Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOrdinal scales provide means for communicating the severity of a condition, but they are affected by cognitive biases, they introduce statistical problems and they sacrifice resolution. Clinicians discern more details than contained in scales, for example, when assessing radiographs, but clinicians' distinctions are often based on experience-based rules of thumb, that is, heuristics. The objectives of this study are to compare clinicians' heuristic assessments to ordinal grading, to identify case elements that influence clinicians' judgements and to present a method for quantifying heuristic assessments.

designClinicians were presented with 17 207 random pairs from a set of 1087 knee radiographs. For each pair, the radiograph with more severe osteoarthritis was selected. The Bradley-Terry model was used to calculate an osteoarthritis strength parameter for each radiograph. Similarly, strength parameters were determined for 12 morphological features with five additional features being considered either present or absent. All radiographs were also graded according to conventional ordinal systems (Kellgren-Lawrence and Ahlbäck). Relations between clinicians' judgements and (1) the heuristics-based osteoarthritis strength, (2) conventional ordinal systems and (3) morphological features were investigated.

resultsReceiver operating characteristic analysis showed that the Bradley-Terry model provided a good description of clinicians' assessments (area under the curve (AUC)=0.97, 95% CI 0.968 to 0.972). Morphological features (AUC=0.90, 95% CI 0.900 to 0.908) provided a superior description of clinicians' choices compared with conventional ordinal systems (AUC=0.88, 95% CI 0.878 to 0.887 and AUC=0.80, 95% CI 0.796 to 0.809) for Ahlbäck and Kellgren-Lawrence, respectively). The features most strongly associated with osteoarthritis strength were medial joint space width, flattening of the medial femoral and tibial condyles, medial osteophytes and alignment.

conclusionsHeuristics-based assessments give a better distinction than conventional grading systems of knee osteoarthritis. The example presents a general approach to evaluate which features are part of experts' heuristics. The data suggest that experts discern more details than included in conventional ordinal grading systems. Quantitative heuristic assessments may replace ordinal scales.

Indexed as

HeuristicsOsteoarthritis, KneeHumansKnee JointMatched-Pair AnalysisRadiographydiagnostic radiologykneemusculoskeletal disordersradiology & imagingstatistics & research methods

Identifiers

PMID34006025
PMCPMC7942253
OpenAlexW3133570083

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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.