ArticleAmerican journal of cancer research2022
Effectiveness of managing suspected metastasis using plasma D-dimer testing in gastric cancer patients.
Article in American journal of cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 6 citations in OpenAlex.
- Pre-Chemotherapy D-Dimer Levels as Predictors of Survival Outcomes in Advanced Gastric Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- FDP/FIB ratio serves as a novel biomarker for diagnosing bone marrow invasion in gastric cancer and predicting patient prognosis\.Scientific reports · 2025Article
- Coagulation indices and fibrinogen degradation products as predictive biomarkers for tumor-node-metastasis staging and metastasis in gastric cancer.World journal of gastrointestinal oncology · 2025Article
- Prognostic Significance of Systemic Immune-Inflammation Index in Patients with de Novo non‑M3 Acute Myeloid Leukemia.Journal of inflammation research · 2025Article
- Article
- Predicting early gastric cancer risk using machine learning: A population-based retrospective study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor metastasis is closely related to the coagulation system. Tumor metastasis and hypercoagulability promote each other through multiple mechanisms. However, whether coagulation indicators can reflect tumor metastasis remains to be explored. Clinical characteristics of a total of 3447 patients from three tertiary referral centers were collected. Then the diagnostic efficacy of FDP, D-dimer and GC tumor markers [Carcinoembryonic antigen (CEA), Carbohydrate antigen 19-9 (CA19-9) and Carbohydrate antigen 72-4 (CA72-4)] for GC metastases was evaluated by the receiver operating characteristic curve (ROC) analyses. Then we conducted a joint ROC curve analysis. The effects of coagulation parameters and tumor markers on gastric cancer metastasis were assessed using multiple logistic regression analysis. 2049 patients were diagnosed with primary GC, 1398 patients with metastatic GC. Based on comparison of AUC, FDP (cutoff, 1.915) had significantly higher diagnostic efficacy than fibrinogen (P<0.001), CEA (P<0.001), CA199 (P<0.001) and CA724 (P<0.001). No significant difference was observed between D-dimer (cutoff, 0.905) and FDP (P=0.158). The AUC of tumor markers combined with coagulation indexes was higher than that without combination (P<0.001). In multiple logistic regression analysis, age, smoking, D-dimer, FDP, CEA, CA19-9, CA72-4 were found to be significantly associated with GC metastasis (all P<0.001, except for smoking P=0.004). We conclude that plasma FDP and D-dimer may be novel clinical biomarkers for screening metastases of GC.
Indexed as
Identifiers
35411224PMC8984896W4226026068What 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.