Evidence map›Paper›PMID 42295581›Full record

SynthesisSports medicine - open2026

Gait Retraining for Patellofemoral Pain in Runners: An Umbrella Review of Clinical and Biomechanical Evidence.

Ana Carolina Petri, Tamiris Beppler Martins, Taís Beppler Martins, Jaqueline de Souza, Filippo Migliorini, Nicola Maffulli, Rodrigo Okubo

Abstract readSystematic Review
In one paragraph

Synthesis in Sports medicine - open, 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. Review
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

7 authors.

Ana Carolina PetriDepartamento de Fisioterapia, Centro de Ciências da Saúde e do Esporte, Universidade do Estado de Santa Catarina, Florianópolis, SC, Brazil.
Tamiris Beppler MartinsDepartamento de Fisioterapia, Centro de Ciências, Tecnologias e Saúde, Universidade Federal de Santa Catarina, Araranguá, Brazil.
Taís Beppler MartinsDepartamento de Fisioterapia, Centro de Ciências da Saúde e do Esporte, Universidade do Estado de Santa Catarina, Florianópolis, SC, Brazil.
Jaqueline de SouzaDepartamento de Fisioterapia, Centro de Ciências da Saúde e do Esporte, Universidade do Estado de Santa Catarina, Florianópolis, SC, Brazil.
Filippo MiglioriniDepartment of Trauma and Reconstructive Surgery, University Hospital of Halle, Martin-Luther University Halle-Wittenberg, Ernst-Grube-Street 40, 06097, Halle (Saale), Germany. filippo.migliorini@uk-halle.de.ORCID http://orcid.org/0000-0001-7220-1221
Nicola MaffulliFaculty of Medicine and Psychology, University "La Sapienza" of Rome, Rome, Italy.
Rodrigo OkuboDepartamento de Fisioterapia, Centro de Ciências da Saúde e do Esporte, Universidade do Estado de Santa Catarina, Florianópolis, SC, Brazil.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior CAPES - Finance Code 001
6 · The paper itself

Abstract

backgroundGait retraining has been proposed as a strategy to modify running biomechanics and reduce symptoms in runners with patellofemoral pain (PFP). However, review-level evidence remains heterogeneous regarding clinical effects, biomechanical mechanisms, and preventive applicability.

objectivesTo critically evaluate the methodological quality and synthesise review-level evidence on gait retraining for the management of patellofemoral pain (PFP) in runners while secondarily summarising preventive findings when available.

methodsUmbrella review conducted in accordance with Joanna Briggs Institute guidelines and reported according to PRISMA 2020. PubMed/MEDLINE and Scopus were searched from inception to March 2026, complemented by manual searches. Systematic reviews (with or without meta-analysis) and structured narrative reviews investigating gait retraining in runners were included. Clinical conclusions were prioritised from reviews focused on symptomatic runners with patellofemoral pain, whereas broader biomechanical or preventive evidence was interpreted contextually. Methodological quality was assessed using AMSTAR-2 for systematic reviews and SANRA for narrative reviews.

resultsEight reviews were included: five systematic reviews and three narrative or mixed-methods reviews. AMSTAR-2 rated four systematic reviews as high quality and one as low quality, while SANRA rated two narrative or mixed-methods as high quality and one as good quality. Gait retraining strategies primarily involved increasing cadence by 5-10%, reducing vertical impact through soft-landing cues, modifying foot-strike pattern, and auditory or visual biofeedback, usually delivered progressively with gradual feedback withdrawal. The most consistent findings related to short-term improvements in pain and function and reductions in selected loading-related biomechanical variables, particularly with cadence-based and soft-landing strategies. Findings for injury prevention, foot-strike modification, and longer-term outcomes were less consistent.

conclusionsGait retraining may be a feasible adjunctive intervention for runners with patellofemoral pain, particularly when focused on modest cadence increases and/or softer-landing cues within supervised, progressively faded-feedback protocols. However, heterogeneity across protocols and the predominance of short-term outcomes limit stronger conclusions. Preventive effects remain uncertain, and high-quality controlled longitudinal studies are needed to clarify long-term clinical relevance and identify runners most likely to benefit. REGISTRATION: PROSPERO (CRD420251145069).

Indexed as

BiomechanicsGait retrainingInjury preventionPatellofemoral painSports physiotherapy

Identifiers

PMID42295581
PMCPMC13269574

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.