Evidence map›Paper›PMID 37984294›Full record

ArticleJournal of biomechanics2024

Using bilateral data in controls and patients with bilateral and unilateral pathology requires increased scrutiny.

Nathan D Camarillo, Rafael Jiménez-Silva, Frances T Sheehan

Abstract read
In one paragraph

Article in Journal of biomechanics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Humeral Development Throughout the Arc of Childhood-A 3D MRI Study.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    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

3 authors.

Nathan D CamarilloRehabilitation Medicine Department, National Institutes of Health, Bethesda, United States.
Rafael Jiménez-SilvaRehabilitation Medicine Department, National Institutes of Health, Bethesda, United States.
Frances T SheehanRehabilitation Medicine Department, National Institutes of Health, Bethesda, United States. Electronic address: gavellif@cc.nih.gov.

Funding

Virtual Functional AnatomyZ01CL060062 · CLC · CLINICAL CENTER · PI GAVELLI, FRANCES T · 2004 to 2008
$361k
Virtual Functional AnatomyZIACL060062 · CLC · CLINICAL CENTER · PI SHEEHAN, FRANCES T · 2009 to 2025
$0k
Intramural NIH HHS Z01 CL060062Intramural NIH HHS Z99 CL999999
6 · The paper itself

Abstract

In many aspects of human research, capturing multiple measures from the same participant is common due to the symmetric nature of the human body (e.g., two eyes, ten fingers, two legs, etc.). This has established a concerning paradox in biomedical and clinical research. When the same condition exist bilaterally (controls or bilateral pathology), researchers often blindly include both (or multiple) measures into the statistical analysis. This assumes that measures between the two sides are statistically independent (uncorrelated). However, there are certain inherent factors within an individual (e.g., age, sex, physical activity, gait pattern, tissue characteristics, hormonal status, pain thresholds, etc.) that would point to a statistical dependence between bilateral measures. Conversely, in unilateral pathology, it is common practice to use the contralateral side as the comparator. This assumes the exact opposite, that sans pathology, bilateral measures are perfectly correlated without bias. Both of these assumptions can lead to errors in the study conclusions. Few studies have explored the statistical dependence between multiple measures from the same participant. Thus, the purpose of this perspective is to explore the statistical considerations associated with analyzing multiple measures from the same participant and provide recommendations for navigating the use of multiple, non-temporal, data points from the same participant. To give context for these recommendations, an example dataset involving patellofemoral kinematics is provided. Due to the prevalent use of bilateral data in the current literature and the resulting potential for invalid study conclusions, we recommend that future research use caution when using multiple measures from the same participant and apply proper statistical analysis (e.g., generalized estimating equations) when these measures are not independent. If the contralateral limb is used as a comparator in unilateral pathology, strong evidence must exist that the underlying pathology has not altered the measures of interest in this contralateral limb.

Indexed as

GaitResearch DesignBiomechanical PhenomenaExerciseHumansLegBiasGeneralized estimating equationsPaired dataStatistical Data Analysis

Identifiers

PMID37984294
PMCPMC10843647

What OpenQuestion holds

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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.