Evidence map›Paper›PMID 34163223›Full record

ArticleInternational journal of general medicine2021

Correlation Between Serum Tumor Marker Levels and Connective Tissue Disease-Related Interstitial Lung Disease.

Yunqi Bao, Wei Zhang, Dandan Shi, Weili Bai, Dongdong He, Dan Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yunqi BaoDepartment of Rheumatology, Xi'an Fifth Hospital, Xian, 710000, Shaanxi, People's Republic of China.ORCID 0000-0002-9871-679X
Wei ZhangDepartment of Rheumatology, Xi'an Fifth Hospital, Xian, 710000, Shaanxi, People's Republic of China.
Dandan ShiDepartment of Radiology, Xi'an Fifth Hospital, Xian, 710000, Shaanxi, People's Republic of China.
Weili BaiDepartment of Rheumatology, Xi'an Fifth Hospital, Xian, 710000, Shaanxi, People's Republic of China.
Dongdong HeDepartment of Rheumatology, Xi'an Fifth Hospital, Xian, 710000, Shaanxi, People's Republic of China.
Dan WangDepartment of Rheumatology, Xi'an Fifth Hospital, Xian, 710000, Shaanxi, People's Republic of China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main aims of this study were to explore the relationships between serum tumor markers and connective tissue disease-related interstitial lung disease (CTD-ILD) and to evaluate the clinical value of tumor markers for investigating interstitial lung disease (ILD) in patients with connective tissue disease (CTD).

methodsThe study included 235 patients with CTD (90 CTD without ILDs, 145 CTD-ILD). Clinical information and the levels of inflammatory and tumor markers, including carbohydrate antigen (CA) 19-9, CA125, carcinoembryonic antigen (CEA), CA153, and cytokeratin 19 fragments (CYFRA21-1), were obtained in all the patients.

resultsA significant difference between CTD with or without ILD and higher levels of tumor markers was observed in the CTD-ILD group, including CA19-9 (

conclusionThere is a positive correlation between serum tumor marker levels and CTD-ILD. Higher levels of CA153 and CYFRA21-1 suggest an increased risk of developing ILD and may therefore be useful as biomarkers for detecting CTD-ILD in the clinical setting.

Indexed as

connective tissue diseaseinterstitial lung diseasetumor markers

Identifiers

PMID34163223
PMCPMC8214529
OpenAlexW3167579274

What OpenQuestion holds

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LicenceCC BY-NC
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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.