Evidence map›Paper›PMID 41050348›Full record

ArticleFrontiers in surgery2025

A clinical risk prediction model for perioperative lower extremity DVT in patients undergoing spinal fracture surgery.

ShuYuan Zhuang, Jing Wang, Peng Du, SiHong Dong, Jiao Wu, DeLong Li, YuanTong Zang, Li Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in surgery, 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

8 authors.

ShuYuan Zhuang *School of Nursing, Inner Mongolia Medical University, Hohhot, China.
Jing Wang *Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Hohhot, China.
Peng DuDepartment of Spinal Surgery, The Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
SiHong DongSchool of Nursing, Inner Mongolia Medical University, Hohhot, China.
Jiao WuSchool of Nursing, Inner Mongolia Medical University, Hohhot, China.
DeLong LiSchool of Nursing, Inner Mongolia Medical University, Hohhot, China.
YuanTong ZangDepartment of Rehabilitation, The Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Li LiNursing Department, The Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a perioperative lower-extremity deep vein thrombosis (DVT) risk prediction model for spinal fracture surgery patients using logistic regression, supporting clinical prevention strategies. Methods: Clinical data from 249 patients undergoing spinal fracture surgery (July 2019-October 2024) were retrospectively analyzed. Participants were divided into a model group ( Results: Independent risk factors included perioperative blood transfusion, elevated C-reactive protein, D-dimer >500 μg/L, hypertension, age ≥60 years, and prolonged bed rest. The model [ Conclusion: The identified risk factors are critical predictors of perioperative DVT in spinal fracture patients. The proposed model exhibits strong clinical utility for early risk stratification and intervention guidance.

Indexed as

deep vein thrombosislower limbpredictive modelrisk factorsspinal fracture

Identifiers

PMID41050348
PMCPMC12489396

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.