Evidence map›Paper›PMID 30041680›Full record

ArticleJournal of ovarian research2018

Determination of sialic acid in saliva by means of surface-enhanced Raman spectroscopy as a marker in adnexal mass patients: ovarian cancer vs benign cases.

José de Jesús Zermeño-Nava, Marco Ulises Martínez-Martínez, Ana Laura Rámirez-de-Ávila, Aida Catalina Hernández-Arteaga, Ma Guadalupe García-Valdivieso, Alondra Hernández-Cedillo, Miguel José-Yacamán, Hugo Ricardo Navarro-Contreras

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
3.5field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Salivary metabolites to detect patients with cancer: a systematic review.International journal of clinical oncology · 2020
    Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Review
  8. Review
  9. Sialic acid: an attractive biomarker with promising biomedical applications.Asian biomedicine : research, reviews and news · 2022
    Review
  10. Review
  11. 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

8 authors at 2 institutions in 2 countries.

José de Jesús Zermeño-NavaDivisión de Gineco-Obstetricia, Hospital Central Dr. Ignacio Morones Prieto, Ave. Venustiano Carranza 2395, Zona Universitaria, 78290, San Luis Potosí, SLP, Mexico.
Marco Ulises Martínez-MartínezDivisión de Gineco-Obstetricia, Hospital Central Dr. Ignacio Morones Prieto, Ave. Venustiano Carranza 2395, Zona Universitaria, 78290, San Luis Potosí, SLP, Mexico.
Ana Laura Rámirez-de-ÁvilaDivisión de Gineco-Obstetricia, Hospital Central Dr. Ignacio Morones Prieto, Ave. Venustiano Carranza 2395, Zona Universitaria, 78290, San Luis Potosí, SLP, Mexico.
Aida Catalina Hernández-ArteagaCoordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luís Potosí, Álvaro Obregón 64, 78000, San Luis Potosí, SLP, Mexico.
Ma Guadalupe García-ValdiviesoCoordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luís Potosí, Álvaro Obregón 64, 78000, San Luis Potosí, SLP, Mexico. guadalupe.valdivieso@uaslp.mx.ORCID http://orcid.org/0000-0002-6517-5173
Alondra Hernández-CedilloCoordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luís Potosí, Álvaro Obregón 64, 78000, San Luis Potosí, SLP, Mexico.
Miguel José-YacamánCoordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luís Potosí, Álvaro Obregón 64, 78000, San Luis Potosí, SLP, Mexico.
Hugo Ricardo Navarro-ContrerasCoordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luís Potosí, Álvaro Obregón 64, 78000, San Luis Potosí, SLP, Mexico. hnavarro@uaslp.mx.
Autonomous University of San Luis Potosí · MXHospital Central Dr. Ignacio Morones Prieto · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo demonstrate the use of surface-enhanced Raman spectroscopy (SERS) to determine sialic acid (SA) levels in saliva using silver nanoparticles as substrates, in adnexal mass patients scheduled for surgical intervention to remove invasive masses, with the aim to compare SA levels in benign tumor vs ovarian cancer patients.

methodsQuantification of SA levels was accomplished by measuring their SERS and calibrating with analytical reagent SA. The mean SA concentration in saliva from 37 benign adnexal mass resulted smaller (5.1 mg/dL) than the mean concentration in 15 Ovarium cancer patients (23 mg/dL). The cancer condition was determined by biopsy of the removed adnexal mass. The CA-125 biomarker was also measured. The predictive potential of both biomarkers is discussed, together with the malignity risk index (MRI).

resultsOur results showed a sensitivity/specificity of 80%/100% with a cutoff to distinguish between benign/cancer cases of SA 15.5 mg/dL, as established from a ROC analysis. Our results suggest that SA may be a more useful biomarker than CA-125 to detect ovarian cancer.

conclusionsOur results suggest that the SA levels measured from saliva may be as good predictors as the MRI index for the presence of ovarian cancer in sensitivity/negative predictive value and outperforms it in specificity/positive predictive value.

Indexed as

Spectrum Analysis, RamanAdnexal DiseasesAdultAgedBiomarkers, TumorCA-125 AntigenDiagnosis, DifferentialFemaleHumansMetal NanoparticlesMiddle AgedN-Acetylneuraminic AcidOvarian NeoplasmsOvarySalivaSensitivity and SpecificityBiomarkers, TumorCA-125 AntigenN-Acetylneuraminic AcidSilverAg NanoparticlesOvarian CancerSialic AcidSurface-enhanced Raman

Identifiers

PMID30041680
PMCPMC6058371
OpenAlexW2884507776

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.