Evidence map›Paper›PMID 33376560›Full record

ArticleDisease markers2020

The Combination of CA125 and NSE Is Useful for Predicting Liver Metastasis of Lung Cancer.

Chu-Feng Wang, Sheng-Jia Peng, Rong-Qiang Liu, Ya-Jie Yu, Qian-Min Ge, Rong-Bin Liang, Qiu-Yu Li, Biao Li, Yi Shao

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  14. The value of serum TRAP1 in diagnosing small cell lung cancer and tumor immunity.Experimental biology and medicine (Maywood, N.J.) · 2023
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  19. Tumor-Derived Exosomes Modulate Primary Site Tumor Metastasis.Frontiers in cell and developmental biology · 2022
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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

9 authors at 1 institution in 1 country.

Chu-Feng WangDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0002-8888-7296
Sheng-Jia PengDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.
Rong-Qiang LiuDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0001-7993-8891
Ya-Jie YuDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0001-7311-5878
Qian-Min GeDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0001-5403-3295
Rong-Bin LiangDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0002-6039-1731
Qiu-Yu LiDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0002-9639-3931
Biao LiDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0003-2425-4534
Yi ShaoDepartment of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute, Nanchang, 330006 Jiangxi, China.ORCID https://orcid.org/0000-0003-1571-2433
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLiver metastasis is the final stage of cancer progression and is associated with poor prognosis. Although numerous indicators have been identified as having prognostic value for lung cancer and liver metastasis, liver metastases are still not diagnosed by imaging in many patients. To provide a more accurate method for clinical prediction of liver metastasis, we analyzed multiple factors to identify potential predictive factors for liver metastasis of lung cancer.

methodsPatients first diagnosed with lung cancer between 2002 and 2016 (

resultsThere was no significant difference in age or sex between the two groups. CA125 and NSE were significantly associated with liver metastasis. Compared with CA125, NSE was more specific, while it was less sensitive (

conclusionsThe combination of CA125 and NSE can assist prediction of liver metastasis of lung cancer, providing improved diagnostic accuracy.

Indexed as

AgedAntigens, NeoplasmBiomarkers, TumorCA-125 AntigenCarcinoembryonic AntigenFemaleGPI-Linked ProteinsHumansKeratin-19Liver NeoplasmsLung NeoplasmsMaleMiddle AgedPhosphopyruvate HydratasePrognosisantigen CYFRA21.1Antigens, NeoplasmBiomarkers, TumorCA-125 AntigenCarcinoembryonic AntigenCEACAM5 protein, humanENO2 protein, humanGPI-Linked ProteinsKeratin-19Phosphopyruvate Hydratase

Identifiers

PMID33376560
PMCPMC7746448
OpenAlexW3113182100

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.