Evidence map›Paper›PMID 35406608›Full record

ArticleCancers2022

Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN).

Damien Traynor, Shiyamala Duraipandian, Ramya Bhatia, Kate Cuschieri, Prerna Tewari, Padraig Kearney, Tom D'Arcy, John J O'Leary, Cara M Martin, Fiona M Lyng

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 4 institutions in 2 countries.

Damien TraynorCentre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, D02 HW71 Dublin, Ireland.
Shiyamala DuraipandianCentre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, D02 HW71 Dublin, Ireland.
Ramya BhatiaScottish HPV Reference Laboratory, Department of Laboratory Medicine, NHS Lothian, 51 Little France Crescent, Edinburgh EH16 5SA, UK.
Kate CuschieriScottish HPV Reference Laboratory, Department of Laboratory Medicine, NHS Lothian, 51 Little France Crescent, Edinburgh EH16 5SA, UK.
Prerna TewariDiscipline of Histopathology, University of Dublin Trinity College, D08 NHY1 Dublin, Ireland.
Padraig KearneyDiscipline of Histopathology, University of Dublin Trinity College, D08 NHY1 Dublin, Ireland.
Tom D'ArcyDepartment of Obstetrics and Gynaecology, The Coombe Women and Infants University Hospital, D08 XW7X Dublin, Ireland.
John J O'LearyDiscipline of Histopathology, University of Dublin Trinity College, D08 NHY1 Dublin, Ireland.ORCID 0000-0001-7311-9326
Cara M MartinDiscipline of Histopathology, University of Dublin Trinity College, D08 NHY1 Dublin, Ireland.
Fiona M LyngCentre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, D02 HW71 Dublin, Ireland.ORCID 0000-0002-9876-963X
Trinity College Dublin · IETechnological University Dublin · IENHS Lothian · GBCoombe Women & Infants University Hospital · IE

Funding

European Commission Marie Skłodowska-Curie Individual Fellowship H2020-MSCA-IF ARC-HPV Grant agreement No: 661398.Health Research Board CARG2012/29
6 · The paper itself

Abstract

The mortality associated with cervical cancer can be reduced if detected at the precancer stage, but current methods are limited in terms of subjectivity, cost and time. Optical spectroscopic methods such as Raman spectroscopy can provide a rapid, label-free and nondestructive measurement of the biochemical fingerprint of a cell, tissue or biofluid. Previous studies have shown the potential of Raman spectroscopy for cervical cancer diagnosis, but most were pilot studies with small sample sizes. The aim of this study is to show the clinical utility of Raman spectroscopy for identifying cervical precancer in a large sample set with validation in an independent test set. Liquid-based cervical cytology samples (

Indexed as

cervical intraepithelial neoplasia (CIN)cervical precancercytologyexfoliated cellsHPVRaman spectroscopyThinPrep

Identifiers

PMID35406608
PMCPMC8997379
OpenAlexW4223430846

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.