Evidence map›Paper›PMID 41837585›Full record

ArticleScandinavian journal of medicine & science in sports2026

Instantaneous and Cumulative Knee Joint Loading in Cycling With and Without Medial Knee Osteoarthritis.

Jonas Ebbecke, Lasse Hansen, Josef Viellehner, William Brent Edwards, Nina Naeckel, Wolfgang Potthast

Abstract read
In one paragraph

Article in Scandinavian journal of medicine & science in sports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jonas EbbeckeInstitute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0003-2991-2698
Lasse HansenInstitute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0003-0401-885X
Josef ViellehnerInstitute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0002-5106-9513
William Brent EdwardsHuman Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-3623-9764
Nina NaeckelInstitute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0009-0001-8927-4053
Wolfgang PotthastInstitute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-9135-3802

Funding

German Sport University Cologne L-11-10011-283-093000
6 · The paper itself

Abstract

Medial knee osteoarthritis (KOA) is characterized by altered joint loading that accelerates disease progression. Cycling is often recommended as a low-impact exercise, yet the instantaneous and cumulative determinants of knee joint loading remain unclear. This study examined cyclists with and without KOA to characterize how power, cadence, and crank torque relate to knee load during cycling. Fifty-six recreational cyclists (19 KOA, 19 age-matched controls (CO), 18 younger controls (CY)) performed 3 cadences (60/80/100 rpm) at 3 power outputs (157/210/261W). Three-dimensional kinematics and pedal reaction forces were used to compute knee moments via inverse dynamics. Instantaneous loading was quantified as peak knee adduction (KAM

Indexed as

BicyclingKnee JointOsteoarthritis, KneeAdultBiomechanical PhenomenaCase-Control StudiesFemaleHumansMaleTorqueWeight-Bearingcumulative load modelingcycling biomechanicsknee adduction momentknee osteoarthritisload modulation

Identifiers

PMID41837585
PMCPMC12990709

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.