Evidence map›Paper›PMID 39333581›Full record

ArticleScientific reports2024

Construction and validation of a nomogram model for predicting different sites of ankle pain in runners with chronic ankle instability.

Zeyi Zhang, Jian Song, Hanlin Shi, Shengmeng Wei, Youping Sun

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Assessing running stability: a systematic review of methods.BMC sports science, medicine & rehabilitation · 2026
    Pooled it
  2. 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

5 authors.

Zeyi ZhangSchool of Physical Education and Health Care, East China Normal University, Shanghai, 200241, China.ORCID 0000-0001-7098-9238
Jian SongSchool of Physical Education and Health Care, East China Normal University, Shanghai, 200241, China.
Hanlin ShiSchool of Physical Education and Health Care, East China Normal University, Shanghai, 200241, China.
Shengmeng WeiSchool of Physical Education and Health Care, East China Normal University, Shanghai, 200241, China.
Youping SunSchool of Physical Education and Health Care, East China Normal University, Shanghai, 200241, China. sunyouping@163.com.ORCID 0009-0005-7516-9112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to establish a risk prediction nomogram model for anterolateral, mediolateral, and posterolateral ankle pain in runners with chronic ankle instability (CAI) and analyse the potential risk factors for pain at different ankle sites. Thirty recreational runners with CAI who reported ankle pain in the anterolateral, mediolateral, or posterolateral regions were recruited for this study. Kinematic, kinetic, and electromyographic data during running were collected using motion capture system, 3-D force platform, and surface electromyography system. These data were used to generate a dynamic nomogram. The results showed that anterolateral ankle pain in runners with CAI may be caused by insufficient gastrocnemius muscle strength (OR 0.85, 95% CI 0.73-0.97), excessive ground reaction force (GRF, OR 2.64, 95% CI 1.25-6.22), and an increased percentage of ankle energy absorption (OR 9.11, 95% CI 1.50-77.79). Mediolateral ankle pain might be contributed by greater ankle inversion angle (OR 1.08, 95% CI 1.01-1.00) and GRF (OR 2.13, 95% CI 1.17-4.31). Moreover, posterolateral ankle pain was predicted by increased ankle adduction angle (OR 1.06, 95% CI 1.00-1.12), increased GRF (OR 2.16, 95% CI 1.07-4.80), and decreased dynamic stability (OR 0.20, 95% CI 0.05-0.68). To prevent ankle pain, runners with CAI should be encouraged to focus on improving the neuroreceptor sensitivity of the gastrocnemius muscles, and retraining their energy absorption patterns.

Indexed as

Ankle JointJoint InstabilityNomogramsRunningAdultAnkle InjuriesBiomechanical PhenomenaElectromyographyFemaleHumansMaleMuscle, SkeletalYoung AdultAnkle painCAIOpenSim modelRisk prediction nomogram model

Identifiers

PMID39333581
PMCPMC11437082

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.