Evidence map›Paper›PMID 38948205›Full record

ArticlePeerJ2024

Development and validation of a multi-parameter nomogram for venous thromboembolism in gastric cancer patients: a retrospective analysis.

Hang Zhou, Haike Lei, Huai Zhao, Kaifeng Huang, Yundong Wang, Ruixia Hong, Jishun Huo, Li Luo, Fang Li

Abstract readValidation Study
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Hang Zhou *Department of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Haike Lei *Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China.
Huai ZhaoDepartment of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Kaifeng HuangDepartment of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Yundong WangDepartment of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Ruixia HongDepartment of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Jishun HuoDepartment of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Li LuoDepartment of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Fang LiDepartment of Ultrasound in Medicine, Chongqing University Cancer Hospital, Chongqing, China.

Funding

Chongqing Technology Innovation and application development project, ChinaNational Cancer Center climbing fund, ChinaNatural Science Foundation of Chongqing, China
6 · The paper itself

Abstract

Objective: Gastric cancer (GC), one of the highest venous thromboembolism (VTE) incidence rates in cancer, contributes to considerable morbidity, mortality, and, prominently, extra cost. However, up to now, there is not a high-quality VTE model to steadily predict the risk for VTE in China. Consequently, setting up a prediction model to predict the VTE risk is imperative. Methods: Data from 3,092 patients from December 15, 2017, to December 31, 2022, were retrospectively analyzed. Multiple logistic regression analysis was performed to assess risk factors for GC, and a nomogram was constructed based on screened risk factors. A receiver operating curve (ROC) and calibration plot was created to evaluate the accuracy of the nomogram. Results: The risk factors of suffering from VTE were older age (OR = 1.02, 95% CI [1.00-1.04]), Karnofsky Performance Status (KPS) ≥ 70 (OR = 0.45, 95% CI [0.25-0.83]), Blood transfusion (OR = 2.37, 95% CI [1.47-3.84]), advanced clinical stage (OR = 3.98, 95% CI [1.59-9.99]), central venous catheterization (CVC) (OR = 4.27, 95% CI [2.03-8.99]), operation (OR = 2.72, 95% CI [1.55-4.77]), fibrinogen degradation product (FDP) >5 µg/mL (OR = 1.92, 95% CI [1.13-3.25]), and D-dimer > 0.5 mg/L (OR = 2.50, 95% CI [1.19-5.28]). The area under the ROC curve (AUC) was 0.82 in the training set and 0.85 in the validation set. Conclusion: Our prediction model can accurately predict the risk of the appearance of VTE in gastric cancer patients and can be used as a robust and efficient tool for evaluating the possibility of VTE.

Indexed as

NomogramsStomach NeoplasmsVenous ThromboembolismAdultAgedChinaFemaleFibrin Fibrinogen Degradation ProductsHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsROC CurveFibrin Fibrinogen Degradation Productsfibrin fragment DGastric cancerNomogramVenous thromboembolism

Identifiers

PMID38948205
PMCPMC11212615

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.