ArticleAmerican journal of cancer research2026
Dynamic changes in D-dimer during first-line therapy and their association with overall survival in advanced lung cancer: a retrospective study.
Article in American journal of cancer research, 2026. 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigated the association between dynamic changes in D-dimer (D-D) during first-line systemic therapy and overall survival (OS) in patients with advanced lung cancer (LC). We also evaluated the independent prognostic value of these dynamic changes after adjusting for confounders and other coagulation markers. This retrospective study included patients with advanced LC who received first-line systemic therapy between January 2018 and December 2023. The percentage change in D-D from baseline to 3 months was calculated. A 3-month landmark analysis was used to reduce immortal time bias. We fitted multivariable Cox proportional-hazards models adjusted for age, sex, disease stage, histology, liver metastasis, and additional confounders (thrombosis history, hypertension, diabetes, chronic obstructive pulmonary disease [COPD], and anemia) to assess the independent association between D-D dynamics and OS. Combined models incorporating D-D, fibrinogen, and platelet data were also evaluated. Restricted cubic splines were utilized to validate the threshold selection. Model performance was evaluated using time-dependent receiver operating characteristic curves, calibration plots, and decision curve analysis. A nomogram for individualized prediction was derived from the combined model and internally validated by bootstrap calibration. Among 192 enrolled patients, the landmark cohort comprised 160 cases (median follow-up 32.5 months). The D-D increase group had a significantly shorter median OS than the stable groups (8.2 vs. 51.8 months) and the decrease group (median not reached; log-rank P < 0.001). After full adjustment, a marked D-D increase remained independently associated with a higher risk of death compared with the stable group (HR = 2.60, 95% CI: 1.44-4.71, P = 0.002), whereas a marked decrease showed a protective trend (HR = 0.56, 95% CI: 0.29-1.08, P = 0.084). The combined model that included D-D dynamics, fibrinogen changes, and platelet status achieved a C-index of 0.697, outperforming the D-D-only model (0.667) and the clinical-only model (0.592). Dynamic D-D changes are independently associated with OS in advanced LC during first-line treatment. The combined model, presented as a practical nomogram, offers a tool for individualized risk stratification; however, external multicenter validation is warranted.
Indexed as
Identifiers
What Socratic 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 Socratic graph.