Evidence map›Paper›PMID 41282673›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Liver Metastasis Risk and Timing in Pancreatic Cancer Patients Using Electronic Health Records.

Nabasmita Talukdar, Zeshui Yu, Zheng Zeng, Xiaodan Zhang, Ying Lu, Dimitri F Joseph, Dmitry Leshchiner, Hui Wang, Bin Chen

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nabasmita TalukdarDepartment of Biostatistics and Epidemiology, Michigan State University, USA.ORCID 0009-0008-9463-9732
Zeshui YuDepartment of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, USA.
Zheng ZengLumbrita LLC, USA.
Xiaodan ZhangDepartment of Pediatrics and Human Development, Michigan State University, USA.ORCID 0009-0005-1303-2639
Ying LuDepartment of Biomedical Data Science, Stanford University School of Medicine, USA.
Dimitri F JosephDepartment of Pharmacology and Toxicology, Michigan State University, USA.
Dmitry LeshchinerDepartment of Pediatrics and Human Development, Michigan State University, USA.
Hui WangLumbrita LLC, USA.
Bin ChenDepartment of Biostatistics and Epidemiology, Michigan State University, USA.ORCID 0000-0001-8858-874X

Funding

Repurpose open data to discover therapeutics for understudied diseasesR01GM134307 · NIGMS · MICHIGAN STATE UNIVERSITY · PI CHEN, BIN · 2019 to 2023
$2.5M
virtual compound screening using gene expressionR01GM145700 · NIGMS · MICHIGAN STATE UNIVERSITY · PI CHEN, BIN, ZHOU, JIAYU · 2022 to 2025
$1.9M
NIGMS NIH HHS R01 GM134307NIGMS NIH HHS R01 GM145700
6 · The paper itself

Abstract

Background: Liver metastasis is a frequent and serious complication of pancreatic cancer, contributing to its high mortality rate. Identifying risk factors and understanding the timing of liver metastasis may improve early detection and support more effective treatment planning. Method: A cohort of 12,955 incident pancreatic cancer patients was assembled from the Truveta platform. A subgroup of cases and controls that met the inclusion/exclusion criteria was analyzed using logistic regression and was reported as the primary analysis for this study. Effects on time to liver metastasis were also analyzed using univariate and multivariate Cox regression models. The primary outcome was the occurrence of liver metastasis within 1 year of diagnosis. Subjects were categorized as having baseline metastasis (≤ 30 days from pancreatic cancer diagnosis) or post-baseline metastasis (>30 days). Demographic characteristics and comorbidities were evaluated for their potential role as risk factors. Result: Among 7,858 patients in the case-control cohort, 2,920 (37%) developed liver metastasis within one year, while 2,066 (70%) subjects were diagnosed with metastasis at baseline. Male sex, older age, and a history of Type 2 diabetes mellitus, depression, obesity, anemia, abdominal pain, and distant metastasis were significantly associated with a higher risk of liver metastasis. Lower odds of liver metastasis were observed among Black or African American and Hispanic or Latino subjects. In the subgroup analysis after removing baseline metastasis, surgery and radiotherapy were protective, while tumors located in the head of the pancreas showed a higher risk for metastasis in this cohort. Conclusions: This study identified key clinical and demographic risk factors for liver metastasis in pancreatic cancer, emphasizing the importance of using real-world data, analyzing the timing of disease progression, and highlighting opportunities for earlier intervention and personalized care.

Identifiers

PMID41282673
PMCPMC12636664

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LicenceCC BY-NC-ND
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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.