Predictive nomogram for postoperative lower-limb deep vein thrombosis in patients undergoing endoscopic endonasal surgery during hospitalization: a retrospective cohort study.

Hai Peng, Ruofei Yuan, Zhe Zhang, Ying Wang, Xingchao Wang, Bo Wang, Peng Li

Abstract read

In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in

1citing 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

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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

1 citing paper in PubMed.

Deep vein thrombosis incidence after sequential Low-molecular-weight heparin and Rivaroxaban versus no prophylaxis in posterior cruciate ligament avulsion fractures.Scientific reports · 2026
Article

4 · The record

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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

7 authors.

Hai Peng *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District 100070, Beijing, China.

Ruofei Yuan *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District 100070, Beijing, China.

Zhe ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District 100070, Beijing, China.

Ying WangNeural Reconstruction Department, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.

Xingchao WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District 100070, Beijing, China.

Bo WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District 100070, Beijing, China.

Peng LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District 100070, Beijing, China. lipengttyyns@163.com.

Funding

National Natural Science Foundation of China 82003023Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2022-JKCS-06Public Welfare Development and Reform Pilot Project of Beijing Medical Research Institute JYY 2023-2

6 · The paper itself

Abstract

Deep vein thrombosis (DVT) in patients undergoing endoscopic endonasal surgery remains underexplored, despite its potential impact on postoperative recovery. This study aimed to develop and validate a predictive nomogram for assessing the risk of lower-limb DVT in such patients without chemoprophylaxis. A retrospective analysis was conducted on 935 patients with postoperative lower-limb vein ultrasonography. Clinical data, including potential risk factors, were used to construct a predictive model via multivariate logistic regression analysis. The resulting nomogram was validated using an independent cohort and evaluated through concordance index (C-index), calibration plots, and decision curve analysis. The incidence of postoperative DVT was 28.9%, with most cases being distal (27.2%). Significant predictors included older age, intraoperative bleeding, female gender, prolonged surgery duration, elevated postoperative APTT and D-dimer levels, and disturbance of consciousness. The nomogram demonstrated good predictive performance, with C-index values of 0.81 in the training cohort and 0.75 in the validation cohort. Calibration and decision curve analyses confirmed the model's clinical applicability. This nomogram offers a practical tool for individualized DVT risk assessment in patients undergoing endoscopic endonasal surgery, facilitating more targeted prophylactic measures.

Indexed as

EndoscopyLower ExtremityNomogramsPostoperative ComplicationsVenous ThrombosisAdultAgedFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsDeep vein thrombosisEndoscopic endonasal surgeryPostoperative complicationsPredictive nomogramRisk assessment.

Identifiers

PMID39863684

DOI10.1038/s41598-025-87656-7

PMCPMC11763263

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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.