Evidence map›Paper›PMID 35888916›Full record

ArticleMicromachines2022

3D-Printed Microneedles for Point-of-Care Biosensing Applications.

Misagh Rezapour Sarabi, Sattar Akbari Nakhjavani, Savas Tasoglu

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  12. Bioprinting in Microgravity.ACS biomaterials science & engineering · 2023
    Review
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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.

Misagh Rezapour SarabiMechanical Engineering Department, School of Engineering, Koç University, Istanbul 34450, Turkey.ORCID 0000-0002-5295-5701
Sattar Akbari NakhjavaniMechanical Engineering Department, School of Engineering, Koç University, Istanbul 34450, Turkey.
Savas TasogluMechanical Engineering Department, School of Engineering, Koç University, Istanbul 34450, Turkey.ORCID 0000-0003-4604-217X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microneedles (MNs) are an emerging technology for user-friendly and minimally invasive injection, offering less pain and lower tissue damage in comparison to conventional needles. With their ability to extract body fluids, MNs are among the convenient candidates for developing biosensing setups, where target molecules/biomarkers are detected by the biosensor using the sample collected with the MNs. Herein, we discuss the 3D printing of microneedle arrays (MNAs) toward enabling point-of-care (POC) biosensing applications.

Indexed as

3D printingbiosensingmicroneedlespoint-of-care

Identifiers

PMID35888916
PMCPMC9318629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.