Evidence map›Paper›PMID 36353365›Full record

ArticleJournal of medical devices2022

Solid Fiber Inside of Capillary and Modified Fusion-Spliced Fiber Optic Microneedle Devices for Improved Light Transmission Efficiency.

Jason N Mehta, Brianna E Morales, John H Rossmeisl, Waldemar Debinski, Christopher G Rylander

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical devices, 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
0.2field-weighted citation impact, top 53% 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, 3 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

5 authors at 3 institutions in 1 country.

Jason N MehtaDepartment of Mechanical Engineering, University of Texas at Austin, 204 E. Dean Keeton Street, Stop C2200, Austin, TX 78712-1591.
Brianna E MoralesDepartment of Biomedical Engineering, University of Texas at Austin, 301 E. Dean Keeton Street, C2100, Austin, TX 78712-2100.
John H RossmeislDepartment of Small Animal Clinical Sciences, VA-MD College of Veterinary Medicine, Virginia Tech 205 Duckpond Drive, Blacksburg, VA 24061.
Waldemar DebinskiWake Forest Baptist Medical Center Comprehensive Cancer Center, 1 Medical Center Boulevard, Winston-Salem, NC 27157.
Christopher G RylanderDepartment of Mechanical Engineering, University of Texas at Austin, 204 E. Dean Keeton Street, Stop C2200, Austin, TX 78712-1591.
The University of Texas at Austin · USAtrium Health Wake Forest Baptist · USVirginia–Maryland College of Veterinary Medicine · US

Funding

Sub-component for Institution # 16-01848 Novel moleculary targeted therapy of GBMP01CA207206 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEBINSKI, WALDEMAR · 2017 to 2021
$9.0M
Multi-receptor Targeting of GlioblastomaR01CA256285 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Waldemar Debinski · 2021 to 2026
$2.8M
Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
NCI NIH HHS P01 CA207206NCI NIH HHS R01 CA256285NIBIB NIH HHS T32 EB007507
6 · The paper itself

Abstract

Convection-enhanced delivery (CED) is a drug delivery technique used to deliver therapeutics directly to the brain and is a continually evolving technique to treat glioblastoma. Early versions of CED have proven to result in inadequate drug volume dispersed (V

Indexed as

catheterconvection-enhanced deliverydrug deliveryfiber optic microneedle device

Identifiers

PMID36353365
PMCPMC9632479
OpenAlexW4295339121

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.