Evidence map›Paper›PMID 42781655›Full record

ArticleJournal of medical biochemistry2026

Circulating tumor-associated biomarkers and pulmonary function in lung cancer patients with comorbid COPD: A retrospective prognostic analysis.

Hongxia Ma, Qian Zhang, Junnan Yue, Jun Su, Xingrui Meng, Fangyuan Ren, Zheng Li

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hongxia MaXinjiang Medical University Affiliated Traditional Chinese Medicine Hospital, Department of Respiratory, Urumqi, China.
Qian ZhangXinjiang Medical University Affiliated Traditional Chinese Medicine Hospital, Department of Respiratory, Urumqi, China.
Junnan YueXinjiang Medical University Affiliated Traditional Chinese Medicine Hospital, Department of Respiratory, Urumqi, China.
Jun SuXinjiang Medical University Affiliated Traditional Chinese Medicine Hospital, Department of Respiratory, Urumqi, China.
Xingrui MengXinjiang Medical University Affiliated Traditional Chinese Medicine Hospital, Department of Respiratory, Urumqi, China.
Fangyuan RenXinjiang Medical University, Urumqi, China.
Zheng LiXinjiang Medical University Affiliated Traditional Chinese Medicine Hospital, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is closely associated with lung cancer development and progression through persistent systemic inflammation and immune-biochemical alterations. Circulating tumor-associated biochemical biomarkers may reflect disease severity and provide valuable prognostic information. This study aimed to explore the potential association between circulating tumor markers and prognosis in lung cancer patients with comorbid COPD, acknowledging the exploratory nature of this retrospective analysis. Methods: Clinicopathological characteristics and circulating biochemical biomarkers, including carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), carbohydrate antigen 153 (CA153), carbohydrate antigen 199 (CA199), cytokeratin-19 fragment (CYFRA21-1), and vascular endothelial growth factor (VEGF), were analyzed. Multivariate logistic regression was performed to identify independent prognostic biochemical predictors. Receiver operating characteristic (ROC) curve analysis was used to evaluate prognostic performance.

Indexed as

biochemical biomarkerschronic obstructive pulmonary diseaselung cancerprognosistumor markersVEGF

Identifiers

PMID42781655
PMCPMC13600545

What Socratic holds

Textmetadata
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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 Socratic graph.