Evidence map›Paper›PMID 23400186›Full record

ArticleStudies in health technology and informatics2013

Simplifying touch data from tri-axial sensors using a new data visualization tool.

Lawrence H Salud, Calvin Kwan, Carla M Pugh

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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. Article
  2. Evaluation of Hands-On Clinical Exam Performance Using Marker-less Video Tracking.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2014
    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.

Lawrence H SaludDepartment of Surgery, Northwestern University, USA.
Calvin Kwan
Carla M Pugh

Funding

Validation of Sensorized Breast Models for High-Stakes Clinical Skills AssessmentR01EB011524 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI PUGH, CARLA M · 2010 to 2016
$2.1M
NIBIB NIH HHS R01 EB011524
6 · The paper itself

Abstract

Quantification and evaluation of palpation is a growing field of research in medicine and engineering. A newly developed tri-axial touch sensor has been designed to capture a multi-dimensional profile of touch-loaded forces. We have developed a data visualization tool as a first step in simplifying interpretation of touch for assessing hands-on clinical performance.

Indexed as

SoftwareTransducers, PressureUser-Computer InterfaceComputer GraphicsFingersHumansPalpationTouch

Identifiers

PMID23400186
PMCPMC3693446

What OpenQuestion holds

Textmetadata
LicenceTDM
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.