Evidence map›Paper›PMID 33408973›Full record

ArticleBiomedical optics express2020

Raman-based cytopathology: an approach to improve diagnostic accuracy in medullary thyroid carcinoma.

Marcos A Soares de Oliveira, Michael Campbell, Alaa M Afify, Eric C Huang, James W Chan

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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.

Marcos A Soares de OliveiraDepartment of Pathology & Laboratory Medicine, Univ. of California Davis, Sacramento, CA 95817, USA.ORCID https://orcid.org/0000-0003-0849-5709
Michael CampbellDepartment of Surgery, Univ. of California Davis, Sacramento, CA 95817, USA.
Alaa M AfifyDepartment of Pathology & Laboratory Medicine, Univ. of California Davis, Sacramento, CA 95817, USA.
Eric C HuangDepartment of Pathology, Univ. of Washington, Seattle, WA 98104, USA.
James W ChanDepartment of Pathology & Laboratory Medicine, Univ. of California Davis, Sacramento, CA 95817, USA.ORCID https://orcid.org/0000-0002-6643-7139
University of California, Davis · USCenter for Health and Gender Equity · USUniversity of Washington · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

Medullary thyroid carcinoma (MTC) is a rare form of thyroid malignancy that can be diagnostically challenging on fine needle aspiration (FNA) cytology. Ancillary tests such as elevated serum or immunohistochemical positive calcitonin have been helpful, yet they can occasionally provide false positive results. In search for an alternative method to improve diagnostic accuracy (DA), we applied hyperspectral Raman spectroscopy to characterize the biochemical composition of single cells from MTC and compared their spectral information to cells from other types of thyroid nodules. Hyperspectral Raman images of 117 MTC single cells from digested tissue were obtained with a line-scan hyperspectral Raman microscope and compared to 127 benign and 121 classic variant of papillary thyroid carcinoma (CVPTC) cells. When principal component analysis and linear discriminant analysis were used to classify the spectral data, MTC cells were differentiated from benign and CVPTC cells with 97% and 99% DA, respectively. In addition, MTC cells exhibited a prominent Raman peak at 1003 cm

Identifiers

PMID33408973
PMCPMC7747905
OpenAlexW3095942105

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.