Evidence map›Paper›PMID 33754050›Full record

ArticleTheranostics2021

Accurate

Pietro Strobbia, Vanessa Cupil-Garcia, Bridget M Crawford, Andrew M Fales, T Joshua Pfefer, Yang Liu, Martin Maiwald, Bernd Sumpf, Tuan Vo-Dinh

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Design and Synthesis of SERS Materials for In Vivo Molecular Imaging and Biosensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  11. Article
  12. Nanoparticle-Based Techniques for Bladder Cancer Imaging: A Review.International journal of molecular sciences · 2023
    Review
  13. Review
  14. Article
  15. Sensing Using Light: A Key Area of Sensors.Sensors (Basel, Switzerland) · 2021
    Article
  16. Review
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

9 authors at 3 institutions in 2 countries.

Pietro StrobbiaFitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
Vanessa Cupil-GarciaFitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
Bridget M CrawfordFitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
Andrew M FalesCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
T Joshua PfeferCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Yang LiuFitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
Martin MaiwaldFerdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Berlin, Germany.
Bernd SumpfFerdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Berlin, Germany.
Tuan Vo-DinhFitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
Duke University · USFerdinand-Braun-Institut · DEUnited States Food and Drug Administration · US

Funding

Plasmonic nanoparticle-mediated immunotherapy to treat metastatic cancerR01EB028078 · NIBIB · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2019 to 2022
$2.1M
NIBIB NIH HHS R01 EB028078
6 · The paper itself

Abstract

For the majority of cancer patients, surgery is the primary method of treatment. In these cases, accurately removing the entire tumor without harming surrounding tissue is critical; however, due to the lack of intraoperative imaging techniques, surgeons rely on visual and physical inspection to identify tumors. Surface-enhanced Raman scattering (SERS) is emerging as a non-invasive optical alternative for intraoperative tumor identification, with high accuracy and stability. However, Raman detection requires dark rooms to work, which is not consistent with surgical settings.

Indexed as

AnimalsCell LineDiagnostic ImagingDisease Models, AnimalHumansMiceMice, Inbred C57BLNeoplasmsSensitivity and SpecificitySpectrum Analysis, Raman

Identifiers

PMID33754050
PMCPMC7977455
OpenAlexW3136663729

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.