Evidence map›Paper›PMID 28794631›Full record

ArticleInternational journal of nanomedicine2017

Surface-enhanced Raman spectroscopy of serum accurately detects prostate cancer in patients with prostate-specific antigen levels of 4-10 ng/mL.

Na Chen, Ming Rong, Xiaoguang Shao, Heng Zhang, Shupeng Liu, Baijun Dong, Wei Xue, Tingyun Wang, Taihao Li, Jiahua Pan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of nanomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.0field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 73 citations in OpenAlex.

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  13. [Application of Raman-based technologies in the detection of urological tumors].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2022
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  18. Application and Progress of Raman Spectroscopy in Male Reproductive System.Frontiers in cell and developmental biology · 2021
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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

10 authors at 3 institutions in 1 country.

Na ChenKey Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University.
Ming RongKey Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University.
Xiaoguang ShaoDepartment of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai.
Heng ZhangKey Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University.
Shupeng LiuKey Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University.
Baijun DongDepartment of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai.
Wei XueDepartment of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai.
Tingyun WangKey Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University.
Taihao LiBeijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, People's Republic of China.
Jiahua PanDepartment of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai.
Shanghai University · CNShanghai Jiao Tong University · CNCapital Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The surface-enhanced Raman spectroscopy (SERS) of blood serum was investigated to differentiate between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) in males with a prostate-specific antigen level of 4-10 ng/mL, so as to reduce unnecessary biopsies. A total of 240 SERS spectra from blood serum were acquired from 40 PCa subjects and 40 BPH subjects who had all received prostate biopsies and were given a pathological diagnosis. Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA) diagnostic algorithms, were used to analyze the spectra data of serum from patients in control (CTR), PCa and BPH groups; results offered a sensitivity of 97.5%, a specificity of 100.0%, a precision of 100.0% and an accuracy of 99.2% for CTR; a sensitivity of 90.0%, a specificity of 97.5%, a precision of 94.7% and an accuracy of 98.3% for BPH; a sensitivity of 95.0%, a specificity of 93.8%, a precision of 88.4% and an accuracy of 94.2% for PCa. Similarly, this technique can significantly differentiate low- and high-risk PCa with an accuracy of 92.3%, a specificity of 95% and a sensitivity of 89.5%. The results suggest that analyzing blood serum using SERS combined with PCA-LDA diagnostic algorithms is a promising clinical tool for PCa diagnosis and assessment.

Indexed as

AgedAlgorithmsDiscriminant AnalysisHumansMaleMiddle AgedPrincipal Component AnalysisProstate-Specific AntigenProstatic NeoplasmsSensitivity and SpecificitySpectrum Analysis, RamanProstate-Specific AntigenAg nanoparticlesbenign prostatic hyperplasiagray zonelinear discriminant analysisprinciple component analysisspectral classification

Identifiers

PMID28794631
PMCPMC5538684
OpenAlexW2739973633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.