ArticleAmerican journal of cancer research2025
Imaging features and clinical markers for predicting postoperative recurrence in early-stage lung cancer.
Article in American journal of cancer research, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to evaluate the predictive value of imaging features and clinical markers for postoperative recurrence in patients with early-stage lung cancer and to establish a nomogram and a neural network model for prediction. A total of 439 patients with early-stage lung cancer who underwent surgical treatment at Changzhou First People's Hospital between January 2020 and January 2023 were retrospectively enrolled. Clinical characteristics, preoperative imaging findings, postoperative pathology, laboratory test results, and recurrence status were collected. By April 1, 2025, 85 of the 439 patients had relapsed, accounting for 19.36% of the cohort. Univariate analysis revealed significant differences between the recurrence and non-recurrence groups in terms of age, tumor density, CYFRA21-1, CA19-9, and CA125 (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.