Evidence map›Paper›PMID 34245582›Full record

SynthesisJournal of surgical oncology2021

Performance assessment using sensor technology.

Hossein Mohamadipanah, Brett Wise, Anna Witt, Cassidi Goll, Su Yang, Calvin Perumalla, Kayla Huemer, LaDonna Kearse, Carla Pugh

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of surgical oncology, 2021. 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. Review
  2. 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.

Hossein MohamadipanahDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Brett WiseDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Anna WittDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Cassidi GollDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Su YangDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Calvin PerumallaDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Kayla HuemerDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
LaDonna KearseDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Carla PughDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.ORCID http://orcid.org/0000-0001-9139-8082

Funding

Quantifying the Metrics of Surgical Mastery: An Exploration in Data ScienceR01DK123445 · NIDDK · STANFORD UNIVERSITY · PI PUGH, CARLA M · 2020 to 2023
$2.6M
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
Automated Performance Assessment System: A New Era in Surgical Skills AssessmentF32EB017084 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI D'ANGELO, ANNE-LISE D · 2013 to 2014
$117k
NIBIB NIH HHS F32 EB017084NIBIB NIH HHS R01 EB011524NIDDK NIH HHS R01 DK123445NIH HHS NIH 1R01DK123445NIH HHS NIH R01EB011524
6 · The paper itself

Abstract

Over the past 30 years, there have been numerous, noteworthy successes in the development, validation, and implementation of clinical skills assessments. Despite this progress, the medical profession has barely scratched the surface towards developing assessments that capture the true complexity of hands-on skills in procedural medicine. This paper highlights the development implementation and new discoveries in performance metrics when using sensor technology to assess cognitive and technical aspects of hands-on skills.

Indexed as

Clinical CompetenceTask Performance and AnalysisWearable Electronic DevicesGeneral SurgeryHerniorrhaphyHumansLaparoscopyPhysical ExaminationSimulation TrainingSurgical Procedures, OperativeUnited StatesVideo Recordingperformance assessmentsensorssurgical metricswearable technology

Identifiers

PMID34245582
PMCPMC8855881

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.