Evidence map›Paper›PMID 37714845›Full record

ArticleLight, science & applications2023

Early cancer detection by SERS spectroscopy and machine learning.

Lingyan Shi, Yajuan Li, Zhi Li

Open access · goldAbstract read
In one paragraph

Article in Light, science & applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
27.8field-weighted citation impact, top 1% 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, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
  7. AI-Guided SERS Defines a Pan-Cancer Diagnostic Biomarker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. LITES-Based Sensitive COSensors (Basel, Switzerland) · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Highly Sensitive T-Shaped Quartz Tuning Fork Based CHSensors (Basel, Switzerland) · 2024
    Article
  20. 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

3 authors at 2 institutions in 1 country.

Lingyan ShiShu Chien-Gene Lay Department of Bioengineering, UC San Diego, La Jolla, CA, 92093, USA. l2shi@ucsd.edu.
Yajuan LiShu Chien-Gene Lay Department of Bioengineering, UC San Diego, La Jolla, CA, 92093, USA.
Zhi LiShu Chien-Gene Lay Department of Bioengineering, UC San Diego, La Jolla, CA, 92093, USA.
La Jolla Bioengineering Institute · USUniversity of California, San Diego · US

Funding

Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Bao Q Vuong · 2008 to 2026
$28.9M
Training and Career Development and Education CoreU54CA137788 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ADRIANA ESPINOSA, FRANCESCA M GANY · 2008 to 2026
$28.1M
The Human Lung BioMolecular Multi-Scale Atlas Program (HuBMAP-Lung)U54HL165443 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2022 to 2025
$8.0M
Novel Optical Imaging Approach to Study Neurovascular Coupling SystemR21NS125395 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHI, LINGYAN · 2022 to 2022
$435k
NCI NIH HHS U54 CA132378NHLBI NIH HHS U54 HL165443NINDS NIH HHS R21 NS125395
6 · The paper itself

Abstract

A new approach for early detection of multiple cancers is presented by integrating SERS spectroscopy of serum molecular fingerprints and machine learning.

Identifiers

PMID37714845
PMCPMC10504315
OpenAlexW4386779652

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.