Evidence map›Paper›PMID 30042904›Full record

ArticleIEEE journal of translational engineering in health and medicine2018

Design of a Precision Medication Dispenser: Preventing Overdose by Increasing Accuracy and Precision of Dosage.

Shriya S Srinivasan, Sai N R Kantareddy, Ebenezer A Nkwate, Praveen Meka, Ivy Chang, Nevan C Hanumara, Khalil B Ramadi

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Comparison of Dosing Accuracy Between the ENFit LDT and a Neonatal-Specific ISO-Compliant Enteral Syringe.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2023
    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

7 authors.

Shriya S SrinivasanHealth Sciences and Technology DivisionMassachusetts Institute of TechnologyCambridgeMA02139USA.
Sai N R KantareddyDepartment of Mechanical EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA.
Ebenezer A NkwateDepartment of Electrical Engineering and Computer ScienceMassachusetts Institute of TechnologyCambridgeMA02139USA.
Praveen MekaDana-Farber Cancer InstituteBostonMA02215USA.
Ivy ChangDepartment of Mechanical EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA.
Nevan C HanumaraDepartment of Mechanical EngineeringMassachusetts Institute of TechnologyCambridgeMA02139USA.
Khalil B RamadiHealth Sciences and Technology DivisionMassachusetts Institute of TechnologyCambridgeMA02139USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid medication overdose in pediatric patients results in over 70000 visits to the emergency room yearly in the USA. Various studies have demonstrated that the root cause of this high incidence is due to user and device error in dose measurement. The standard measuring cup and syringe suffer from the challenge of accurately measuring and dispensing viscous liquids, which comprise the majority of children's medication formulations. Here, we describe the development of a precision medication dispenser that overcomes challenges associated with viscous fluid flow at low volumes and flow rates, while incorporating various ergonomic and user-friendly features. The device performs with >95% accuracy and 94% precision across the 1-5-mL range of volume, a significant improvement when compared to current commercially available dispensers.

Indexed as

administration errordosageLiquid medicationoverdoseviscous flow

Identifiers

PMID30042904
PMCPMC6054514

What OpenQuestion holds

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Registered trials

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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.