Evidence map›Paper›PMID 27903263›Full record

Trial reportBMC complementary and alternative medicine2016

Estimating the accuracy of muscle response testing: two randomised-order blinded studies.

Anne M Jensen, Richard J Stevens, Amanda J Burls

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC complementary and alternative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01066312 (Investigating the Accuracy of Manual Muscle Testing for Distinguishing Congruent From Incongruent Statements Under Varying Levels of Blinding), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT01066312 completednot on this map

Investigating the Accuracy of Manual Muscle Testing for Distinguishing Congruent From Incongruent Statements Under Varying Levels of Blinding

TypeobservationalSponsorParker Research InstituteRan2010 to 2013Enrolled160ConditionsLying
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Toward Soft Wearable Strain Sensors for Muscle Activity Monitoring.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2022
    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.

Anne M JensenDepartment of Primary Care Health Sciences, University of Oxford, Oxford, UK. dranne@drannejensen.com.
Richard J StevensDepartment of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Amanda J BurlsSchool of Health Sciences, City University London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManual muscle testing (MMT) is a non-invasive assessment tool used by a variety of health care providers to evaluate neuromusculoskeletal integrity, and muscular strength in particular. In one form of MMT called muscle response testing (MRT), muscles are said to be tested, not to evaluate muscular strength, but neural control. One established, but insufficiently validated, application of MRT is to assess a patient's response to semantic stimuli (e.g. spoken lies) during a therapy session. Our primary aim was to estimate the accuracy of MRT to distinguish false from true spoken statements, in randomised and blinded experiments. A secondary aim was to compare MRT accuracy to the accuracy when practitioners used only their intuition to differentiate false from true spoken statements.

methodsTwo prospective studies of diagnostic test accuracy using MRT to detect lies are presented. A true positive MRT test was one that resulted in a subjective weakening of the muscle following a lie, and a true negative was one that did not result in a subjective weakening of the muscle following a truth. Experiment 2 replicated Experiment 1 using a simplified methodology. In Experiment 1, 48 practitioners were paired with 48 MRT-naïve test patients, forming unique practitioner-test patient pairs. Practitioners were enrolled with any amount of MRT experience. In Experiment 2, 20 unique pairs were enrolled, with test patients being a mix of MRT-naïve and not-MRT-naïve. The primary index test was MRT. A secondary index test was also enacted in which the practitioners made intuitive guesses ("intuition"), without using MRT. The actual verity of the spoken statement was compared to the outcome of both index tests (MRT and Intuition) and their mean overall fractions correct were calculated and reported as mean accuracies.

resultsIn Experiment 1, MRT accuracy, 0.659 (95% CI 0.623 - 0.695), was found to be significantly different (p < 0.01) from intuition accuracy, 0.474 (95% CI 0.449 - 0.500), and also from the likelihood of chance (0.500; p < 0.01). Experiment 2 replicated the findings of Experiment 1. Testing for various factors that may have influenced MRT accuracy failed to detect any correlations.

conclusionsMRT has repeatedly demonstrated significant accuracy for distinguishing lies from truths, compared to both intuition and chance. The primary limitation of this study is its lack of generalisability to other applications of MRT and to MMT. STUDY REGISTRATION: The Australian New Zealand Clinical Trials Registry (ANZCTR; www.anzctr.org.au ; ID # ACTRN12609000455268 , and US-based ClinicalTrials.gov (ID # NCT01066312 ).

Indexed as

Lie DetectionTruth DisclosureAdolescentAdultAgedFemaleHumansMaleMiddle AgedMusclesProspective StudiesReproducibility of ResultsYoung AdultKinesiologyLie detectionMuscle weaknessSensitivitySpecificity

Identifiers

PMID27903263
PMCPMC5131520

What OpenQuestion holds

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Registered trials

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.