Evidence map›Paper›PMID 34660320›Full record

ArticleFrontiers in oncology2021

Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics.

Xien Yang, Quanhong Ou, Kai Qian, Jianru Yang, Zhixun Bai, Weiye Yang, Youming Shi, Gang Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.0field-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

17 citing papers in PubMed, 45 citations in OpenAlex.

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  7. The Perils of Molecular Interpretations from Vibrational Spectra of Complex Samples.Angewandte Chemie (International ed. in English) · 2024
    Review
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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

8 authors at 4 institutions in 1 country.

Xien YangSchool of Physics and Electronic Information, Yunnan Normal University, Kunming, China.
Quanhong OuSchool of Physics and Electronic Information, Yunnan Normal University, Kunming, China.
Kai QianDepartment of Thoracic Surgery, The First People's Hospital of Yunnan Province, Kunming, China.
Jianru YangDepartment of Clinical Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Zhixun BaiDepartment of Internal Medicine, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Weiye YangSchool of Physics and Electronic Information, Yunnan Normal University, Kunming, China.
Youming ShiSchool of Physics and Electronic Engineering, Qujing Normal University, Qujing, China.
Gang LiuSchool of Physics and Electronic Information, Yunnan Normal University, Kunming, China.
Yunnan Normal University · CNZunyi Medical University · CNFirst People's Hospital of Yunnan Province · CNQujing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related death in the world. Early diagnosis has great significance for the survival of patients with lung cancer. In this paper, attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics was used to study the serum samples from patients with lung cancer and healthy people. The results of spectral band area comparison showed that the concentrations of protein, lipid and nucleic acids molecules in serum of patients with lung cancer were increased compared with those in healthy people. The original spectra were preprocessed to improve the accuracy of principal component regression (PCR) and partial least squares-discriminant analysis (PLS-DA) models. PLS-DA results for first derivative spectral data in nucleic acids (1250-1000cm

Indexed as

ATR-FTIR spectroscopyBeer-Lambert lawchemometricslung cancerserum

Identifiers

PMID34660320
PMCPMC8515056
OpenAlexW3202954992

What OpenQuestion holds

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LicenceCC BY
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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.