Evidence map›Paper›PMID 36291799›Full record

ArticleCancers2022

Infrared Spectroscopy of Urine for the Non-Invasive Detection of Endometrial Cancer.

Carlos A Meza Ramirez, Helen Stringfellow, Raj Naik, Emma J Crosbie, Maria Paraskevaidi, Ihtesham U Rehman, Pierre Martin-Hirsch

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% 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, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 4 institutions in 1 country.

Carlos A Meza RamirezBioengineering, School of Engineering, Faculty of Science and Technology, Lancaster University, Gillow Avenue, Lancaster LA1 4YW, UK.ORCID 0000-0003-4588-3743
Helen StringfellowGynaecological Oncology, Clinical Research Facility, Lancashire Teaching Hospitals, Sharoe Green Lane, Preston PR2 9HT, UK.
Raj NaikGynaecological Oncology, Clinical Research Facility, Lancashire Teaching Hospitals, Sharoe Green Lane, Preston PR2 9HT, UK.
Emma J CrosbieGynaecological Oncology Research Group, Division of Cancer Sciences, University of Manchester, Oxford Road, Manchester M13 9WL, UK.ORCID 0000-0003-0284-8630
Maria ParaskevaidiReproductive and Developmental Biology (IRDB), Department of Metabolism, Digestion & Reproduction, Imperial College London, London W12 0HS, UK.
Ihtesham U RehmanBioengineering, School of Engineering, Faculty of Science and Technology, Lancaster University, Gillow Avenue, Lancaster LA1 4YW, UK.ORCID 0000-0003-2502-7608
Pierre Martin-HirschGynaecological Oncology, Clinical Research Facility, Lancashire Teaching Hospitals, Sharoe Green Lane, Preston PR2 9HT, UK.
Lancashire Teaching Hospitals NHS Foundation Trust · GBLancaster University · GBImperial College London · GBManchester Academic Health Science Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current triage for women with post-menopausal bleeding (PMB) to diagnose endometrial cancer rely on specialist referral for intimate tests to sequentially image, visualise and sample the endometrium. A point-of-care non-invasive triage tool with an instant readout could provide immediate reassurance for low-risk symptomatic women, whilst fast-tracking high-risk women for urgent intrauterine investigations. This study assessed the potential for infrared (IR) spectroscopy and attenuated total reflection (ATR) technology coupled with chemometric analysis of the resulting spectra for endometrial cancer detection in urine samples. Standardised urine collection and processing protocols were developed to ensure spectroscopic differences between cases and controls reflected cancer status. Urine spectroscopy distinguished endometrial cancer (

Indexed as

ATRcancerendometrial cancer detectionFTIRmachine learningPLS-DAvibrational spectroscopy

Identifiers

PMID36291799
PMCPMC9600188
OpenAlexW4306149828

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.