Evidence map›Paper›PMID 30042899›Full record

ArticlePeerJ2018

Combined accelerometer and genetic analysis to differentiate essential tremor from Parkinson's disease.

Bhuvan Molparia, Brian N Schrader, Eli Cohen, Jennifer L Wagner, Sandeep R Gupta, Sherrie Gould, Nelson Hwynn, Emily G Spencer, Ali Torkamani

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor.IEEE journal of translational engineering in health and medicine · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

9 authors at 3 institutions in 1 country.

Bhuvan MolpariaThe Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA.
Brian N SchraderThe Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA.
Eli CohenIntel Corporation, Santa Clara, CA, USA.
Jennifer L WagnerThe Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA.
Sandeep R GuptaIntel Corporation, Santa Clara, CA, USA.
Sherrie GouldScripps Clinic Torrey Pines, Scripps Health, La Jolla, CA, USA.
Nelson HwynnScripps Clinic Torrey Pines, Scripps Health, La Jolla, CA, USA.
Emily G SpencerThe Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0003-2650-4357
Ali TorkamaniThe Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0003-0232-8053
Scripps Research Institute · USIntel (United States) · USScripps Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Essential tremor (ET) and Parkinson's disease (PD) are among the most common adult-onset tremor disorders. Clinical and pathological studies suggest that misdiagnosis of PD for ET, and vice versa, occur in anywhere from 15% to 35% of cases. Complex diagnostic procedures, such as dopamine transporter imaging, can be powerful diagnostic aids but are lengthy and expensive procedures that are not widely available. Preliminary studies suggest that monitoring of tremor characteristics with consumer grade accelerometer devices could be a more accessible approach to the discrimination of PD from ET, but these studies have been performed in well-controlled clinical settings requiring multiple maneuvers and oversight from clinical or research staff, and thus may not be representative of at-home monitoring in the community setting. Therefore, we set out to determine whether discrimination of PD vs. ET diagnosis could be achieved by monitoring research subject movements at home using consumer grade devices, and whether discrimination could be improved with the addition of genetic profiling of the type that is readily available through direct-to-consumer genetic testing services. Forty subjects with PD and 27 patients with ET were genetically profiled and had their movements characterized three-times a day for two weeks through a simple procedure meant to induce rest tremors. We found that tremor characteristics could be used to predict diagnosis status (sensitivity = 76%, specificity = 65%, area under the curve (AUC) = 0.75), but that the addition of genetic risk information, via a PD polygenic risk score, did not improve discriminatory power (sensitivity = 80%, specificity = 65%, AUC = 0.73).

Indexed as

AccelerometerEssential tremorGenetic riskGenetic risk scoreMovement disorderParkinson’s diseasePolygenic risk scoreTremor

Identifiers

PMID30042899
PMCPMC6055592
OpenAlexW2884111251

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.