Evidence map›Paper›PMID 36660747›Full record

Article3D printing and additive manufacturing2022

3D Printable Thermoplastic Polyurethane Energy Efficient Passive Foot.

Muhammad Hassaan Ahmed, Asharib Jamshid, Usman Amjad, Aashir Azhar, Muhammad Zawar Ul Hassan, Mohsin Islam Tiwana, Waqar Shahid Qureshi, Eisa Alanazi

Open access · greenAbstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 4 countries.

Muhammad Hassaan AhmedRobot Design and Development Lab (RDDL), National Centre of Robotics and Automation (NCRA), NUST College of E&ME, Rawalpindi, Pakistan.
Asharib JamshidDepartment of Mechatronics Engineering, NUST College of E&ME, Rawalpindi, Pakistan.
Usman AmjadDepartment of Mechatronics Engineering, NUST College of E&ME, Rawalpindi, Pakistan.
Aashir AzharRobot Design and Development Lab (RDDL), National Centre of Robotics and Automation (NCRA), NUST College of E&ME, Rawalpindi, Pakistan.ORCID https://orcid.org/0000-0002-9060-5219
Muhammad Zawar Ul HassanDepartment of Mechatronics Engineering, NUST College of E&ME, Rawalpindi, Pakistan.
Mohsin Islam TiwanaRobot Design and Development Lab (RDDL), National Centre of Robotics and Automation (NCRA), NUST College of E&ME, Rawalpindi, Pakistan.
Waqar Shahid QureshiDepartment of Mechatronics Engineering, NUST College of E&ME, Rawalpindi, Pakistan.ORCID https://orcid.org/0000-0003-0176-8145
Eisa AlanaziDepartment of Computer Science, Umm Al-Qura University, Makkah, Saudi Arabia.
Army Medical College · PKNational Court Reporters Association · USTechnological University Dublin · IEUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Passive energy storing prosthetics are redesigned to improve the stored and recovered energy during different phases of the gait cycle. Furthermore, the demand of the low-cost passive prosthesis that are capable of energy storing is increasing day by day especially in underdeveloping countries. This article proposes a new passive foot design that is more energy efficient if 3D printed using thermoplastic polyurethane (TPU) material. The model is built in SOLIDWORKS

Indexed as

3D printingdesign for AMFDM techniquefinite element analysis (FEA)foot prosthesispassive footthermoplastic polyurethane (TPU)

Identifiers

PMID36660747
PMCPMC9831569
OpenAlexW4205331742

What OpenQuestion holds

Textmetadata
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.