Evidence map›Paper›PMID 31859676›Full record

Observational studyJMIR mHealth and uHealth2019

Objectively Monitoring Amyotrophic Lateral Sclerosis Patient Symptoms During Clinical Trials With Sensors: Observational Study.

Luis Garcia-Gancedo, Madeline L Kelly, Arseniy Lavrov, Jim Parr, Rob Hart, Rachael Marsden, Martin R Turner, Kevin Talbot, Theresa Chiwera, Christopher E Shaw and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% of its field
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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Luis Garcia-GancedoAdvanced Biostatistics & Data Analytics Centre of Excellence, R&D Projects Clinical Platforms & Sciences, GlaxoSmithKline, Stevenage, United Kingdom.ORCID 0000-0001-5631-1711
Madeline L KellyTranslational Medicine, Future Pipeline Discovery, GlaxoSmithKline, Stevenage, United Kingdom.ORCID 0000-0001-6855-4550
Arseniy LavrovClinical Development, AveXis, Bannockburn, IL, United States.ORCID 0000-0002-2360-2253
Jim ParrMcLaren Technology Centre, McLaren Applied Technologies, Woking, United Kingdom.ORCID 0000-0001-5956-217X
Rob HartMcLaren Technology Centre, McLaren Applied Technologies, Woking, United Kingdom.ORCID 0000-0002-8507-3326
Rachael MarsdenNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0304-9427
Martin R TurnerNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0267-3180
Kevin TalbotNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5490-1697
Theresa ChiweraMaurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0003-2884-4267
Christopher E ShawMaurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0003-0251-0146
Ammar Al-ChalabiMaurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-4924-7712
King's College London · GBUniversity of Oxford · GBGlaxoSmithKline (United Kingdom) · GBMcLaren Honda (United Kingdom) · GBBaxalta (United States) · US

Funding

Department of HealthMedical Research Council G0500289Medical Research Council MC_PC_17115Motor Neurone Disease Association ALCHALABI-TALBOT/APR14/926-794Motor Neurone Disease Association TURNER/OCT18/989-797
6 · The paper itself

Abstract

backgroundObjective symptom monitoring of patients with Amyotrophic Lateral Sclerosis (ALS) has the potential to provide an important source of information to evaluate the impact of the disease on aspects of real-world functional capacity and activities of daily living in the home setting, providing useful objective outcome measures for clinical trials.

objectiveThis study aimed to investigate the feasibility of a novel digital platform for remote data collection of multiple symptoms-physical activity, heart rate variability (HRV), and digital speech characteristics-in 25 patients with ALS in an observational clinical trial setting to explore the impact of the devices on patients' everyday life and to record tolerability related to the devices and study procedures over 48 weeks.

methodsIn this exploratory, noncontrolled, nondrug study, patients attended a clinical site visit every 3 months to perform activity reference tasks while wearing a sensor, to conduct digital speech tests and for conventional ALS monitoring. In addition, patients wore the sensor in their daily life for approximately 3 days every month for the duration of the study.

resultsThe amount and quality of digital speech data captured at the clinical sites were as intended, and there were no significant issues. All the home monitoring sensor data available were propagated through the system and were received as expected. However, the amount and quality of physical activity home monitoring data were lower than anticipated. A total of 3 or more days (or partial days) of data were recorded for 65% of protocol time points, with no data collected for 24% of time points. At baseline, 24 of 25 patients provided data, reduced to 13 of 18 patients at Week 48. Lower-than-expected quality HRV data were obtained, likely because of poor contact between the sensor and the skin. In total, 6 of 25 patients had mild or moderate adverse events (AEs) in the skin and subcutaneous tissue disorders category because of skin irritation caused by the electrode patch. There were no reports of serious AEs or deaths. Most patients found the sensor comfortable, with no or minimal impact on daily activities.

conclusionsThe platform can measure physical activity in patients with ALS in their home environment; patients used the equipment successfully, and it was generally well tolerated. The quantity of home monitoring physical activity data was lower than expected, although it was sufficient to allow investigation of novel physical activity end points. Good-quality in-clinic speech data were successfully captured for analysis. Future studies using objective patient monitoring approaches, combined with the most current technological advances, may be useful to elucidate novel digital biomarkers of disease progression.

Indexed as

Activities of Daily LivingAdultAmyotrophic Lateral SclerosisData CollectionDisease ProgressionExerciseFeasibility StudiesFemaleHeart RateHumansMaleMiddle AgedMonitoring, PhysiologicPhenotypeSpeechTechnologyaccelerometeramyotrophic lateral sclerosisclinical trialdigital biomarkerdigital phenotypingheart rateobjective symptom monitoringphysical activityspeechwearable

Identifiers

PMID31859676
PMCPMC6942190
OpenAlexW2976945409

What OpenQuestion holds

Textmetadata
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.