Evidence map›Paper›PMID 38078121›Full record

ArticleWorld journal of clinical cases2023

Analysis of risk factors for postoperative deep vein thrombosis after craniotomy and nomogram model construction.

Zhen-Jin Su, Hong-Rui Wang, Li-Qin Liu, Nan Li, Xin-Yu Hong

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 1 institution in 1 country.

Zhen-Jin SuDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Hong-Rui WangDepartment of Operating Theater, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Li-Qin LiuDepartment of Operating Theater, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Nan LiDepartment of Operating Theater, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Xin-Yu HongDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China. hongxy@jlu.edu.cn.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep vein thrombosis (DVT) of the lower extremity is one of the most common postoperative complications, especially after craniocerebral surgery. DVT may lead to pulmonary embolism, which has a devastating impact on patient prognosis. This study aimed to investigate the incidence and risk factors of DVT in the lower limbs following craniocerebral surgery.

aimTo identify independent risk factors for the development of postoperative DVT and to develop an effective risk prediction model.

methodsThe demographic and clinical data of 283 patients who underwent craniocerebral surgery between December 2021 and December 2022 were retrospectively analyzed. The independent risk factors for lower extremity DVT were identified by univariate and multivariate analyses. A nomogram was created to predict the likelihood of lower extremity DVT in patients who had undergone craniocerebral surgery. The efficacy of the prediction model was determined by receiver operating characteristic curve using the probability of lower extremity DVT for each sample.

resultsAmong all patients included in the analysis, 47.7% developed lower extremity DVT following craniocerebral surgery. The risk of postoperative DVT was higher in those with a longer operative time, and patients with intraoperative intermittent pneumatic compression were less likely to develop postoperative DVT.

conclusionThe incidence of lower extremity DVT following craniocerebral surgery is significant, highlighting the importance of identifying independent risk factors. Interventions such as the use of intermittent pneumatic compression during surgery may prevent the formation of postoperative DVT.

Indexed as

Craniotomy surgeryDeep vein thrombosisNomogramRisk factors

Identifiers

PMID38078121
PMCPMC10698453
OpenAlexW4388320477

What OpenQuestion holds

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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.