Evidence map›Paper›PMID 39403592›Full record

ArticleFrontiers in cardiovascular medicine2024

Risk factors for postoperative DVT exacerbation or new DVT in patients with spinal cord injury complicated with cervical fracture.

Haiying Wang, Bing Lv, Wei Li, Jingjing Xu, Ce Ma

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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.

  1. 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

5 authors.

Haiying WangDepartment of Orthopaedic Surgery, Baoding No.1 Central Hospital, Baoding, China.
Bing LvDepartment of Ultrasound Medicine, Baoding No.1 Central Hospital, Baoding, China.
Wei LiDepartment of Ultrasound Medicine, Baoding No.1 Central Hospital, Baoding, China.
Jingjing XuDepartment of Ultrasound Medicine, Baoding No.1 Central Hospital, Baoding, China.
Ce MaDepartment of Ultrasound Medicine, Baoding No.1 Central Hospital, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the dynamic changes of perioperative deep venous thrombosis (DVT) in patients with spinal cord injury complicated with cervical fracture and analyze the risk factors of postoperative DVT exacerbation or new DVT. Methods: From January 2018 to December 2023, a total of 232 patients with spinal cord injury complicated with cervical fracture in our hospital were retrospectively analyzed. Ultrasonography of both lower limbs was performed before and after surgery. According to whether there was aggravation of DVT or new thrombosis, the group was divided into DVT exacerbation or new DVT group and non-DVT exacerbation group. Clinical data were used to study the dynamic changes of perioperative DVT. Logistic regression analysis and receiver operating characteristic (ROC) curve were used to explore the risk factors. Results: The DVT was found in 47 patients before surgery, including 26 cases of distal thrombus, 14 cases of mixed thrombus and 7 cases of proximal thrombus. Postoperative DVT increased to 81, including 31 distal thrombus, 35 mixed thrombus and 15 proximal thrombus. A total of 53 patients (22.8%, 53/232) experienced postoperative DVT exacerbation or new DVT. Logistic regression analysis revealed that age, American Spinal Injury Association (ASIA) score, time from injury to surgery, surgery time and blood loss were risk factors for postoperative DVT exacerbation. Conclusions: In patients with spinal cord injury complicated with cervical fracture, the risk of postoperative DVT exacerbation is very high. Age, ASIA score A-B, time from injury to surgery, surgery time and blood loss were risk factors for postoperative DVT exacerbation or new DVT.

Indexed as

cervical fracturedeep venous thrombosisrisk factorspinal cord injurythrombosis exacerbation

Identifiers

PMID39403592
PMCPMC11471601

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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.