Evidence map›Paper›PMID 38374512›Full record

ArticleLasers in medical science2024

Raman spectroscopy combined with multivariate statistical algorithms for the simultaneous screening of cervical and breast cancers.

Yue Cao, Jiaran Xiong, Yu Du, Yishu Tang, Longfei Yin

Abstract read
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In one paragraph

Article in Lasers in medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Yue CaoDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China.
Jiaran XiongSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.ORCID http://orcid.org/0009-0002-4895-4666
Yu DuSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
Yishu TangDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, People's Republic of China. tangyishu111@163.com.
Longfei YinSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China. yinlongfei@bupt.edu.cn.

Funding

National Natural Science Foundation of China 62071059
6 · The paper itself

Abstract

Breast and cervical cancers are becoming the leading causes of death among women worldwide, but current diagnostic methods have many drawbacks, such as being time-consuming and high cost. Raman spectroscopy, as a rapid, reliable, and non-destructive spectroscopic detection technique, has achieved many breakthrough results in the screening and prognosis of various cancer tumors. Therefore, in this study, Raman spectroscopy technology was used to diagnose breast cancer and cervical cancer. A total of 225 spectra were recorded from 87 patients with cervical cancer, 60 patients with breast cancer, and 78 healthy individuals. The obvious difference in Raman spectrum between the three groups was mainly shown at 809 cm

Indexed as

Breast NeoplasmsUterine Cervical NeoplasmsAlgorithmsbeta CaroteneEarly Detection of CancerFemaleHumansPrincipal Component AnalysisSpectrum Analysis, Ramanbeta CaroteneBreast cancerCervical cancerMultivariate analysisRaman spectroscopySerum

Identifiers

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Registered trials

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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.