ArticleScientific reports2025
Association of coagulation-related indicators with postoperative venous thromboembolism occurrence in patients with pituitary tumors.
Article in Scientific reports, 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to analyze risk factors for postoperative VTE in pituitary tumor resection patients, focusing on coagulation indicators and their predictive value. This study collected clinical data from 300 patients who underwent pituitary adenoma resection from January 2021 to August 2023 in the Department of Neurosurgery, the Second Clinical College of the Army Medical University, China. Logistic regression modeling was used to identify risk factors for VTE. Restricted cubic spline curves were used to characterize the dose-response relationship between coagulation-related indicators and the risk of venous thromboembolism. The area under the curve (AUC) was calculated using the receiver operating characteristic (ROC) curve to evaluate the predictive power of coagulation-related indicators. Multivariate analysis showed that D-dimer, platelet count and hemoglobin (Hb) were significant predictors of VTE with OR (95% CI) of 1.967 (1.441-2.808), 1.020 (1.013-1.029), and 0.952 (0.914-0.994), respectively. The AUCs for D-dimer, Platelet Count, and Hb were 0.708, 0.731, and 0.712, respectively. The AUC for combining the three coagulation indices was the largest, 0.838. The combined use of D-dimer, Hb, and platelet count can identify high-risk patients early, enabling timely implementation of antithrombotic strategies.
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.