Evidence map›Paper›PMID 29551845›Full record

ArticleMaterials letters2018

Development of a Novel Loading Device for Studying Magnesium Degradation under Compressive Load for Implant Applications.

Qiaomu Tian, Jose Antonio Mendez, Laura Rivera-Castaneda, Omar Mahmood, Adam Showalter, Elizabeth Ang, Sarah Kazmi, Huinan Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials letters, 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
0.7field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Qiaomu TianDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
Jose Antonio MendezDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
Laura Rivera-CastanedaDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
Omar MahmoodDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
Adam ShowalterDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
Elizabeth AngDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
Sarah KazmiDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
Huinan LiuDepartment of Bioengineering, University of California, Riverside. Riverside, CA, USA, 92521.
University of California, Riverside · US

Funding

UC Riverside MARC U* Star Undergraduate Research ProgramT34GM062756 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI MARTINEZ, ERNEST · 2001 to 2022
$8.7M
NIGMS NIH HHS T34 GM062756
6 · The paper itself

Abstract

Medical implants play a key role in treating bone fractures. Permanent implants are currently used for immobilization of fractures and bearing physiological loads during bone healing. After bone has healed, these implants, if not removed, often cause complications in the long run; and secondary surgeries for removing them pose additional discomfort and expenses for patients. Magnesium (Mg)-based bioresorbable implants, can potentially eliminate the need for additional surgeries by degrading safely over time in the human body. When studying the degradation behaviors of Mg-based implants

Indexed as

Biomaterialscorrosiondegradationload bearing bioresorbable implantsloading devicemagnesium-based biodegradable metals

Identifiers

PMID29551845
PMCPMC5854174
OpenAlexW2779248524

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.