ArticleiScience2025
Biomarkers via liquid biopsy for distinguishing malignant from benign pulmonary ground-glass nodule.
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The differentiation between benign and malignant pulmonary ground-glass nodules (GGNs) has always been a current clinical hotspot issue. Patients with pulmonary GGNs from 8 centers were enrolled to identify biomarkers for malignancy and benignity discrimination, and an integrated biomarker panel comprising two miRNA, one long non-coding RNA (lncRNA), and one circular RNA (cirRNA) identified by multivariate logistic regression analysis were established. The classifier had area under the receiver-operating characteristic (ROC) curve (AUC) of 0.88, 87.8% sensitivity and 70% specificity, being significantly higher compared with the Mayo model (AUC of 0.72), Brock model (AUC of 0.70), and Herder model (AUC of 0.82) (all
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.