Evidence map›Paper›PMID 34511981›Full record

ArticlePharmacogenomics and personalized medicine2021

Incidence and Risk Factors of Lower-Extremity Deep Vein Thrombosis After Thrombolysis Among Patients with Acute Ischemic Stroke.

Zhuo Liu, Dandan Liu, Zhen-Ni Guo, Hang Jin, Tong Sun, Chunping Ni, Xiuli Yan

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Nomogram Prediction for Lower Extremity Deep Vein Thrombosis in Acute Ischemic Stroke Patients Receiving Thrombolytic Therapy.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
  11. Predicting the Risk of Deep Venous Thrombosis in Elderly Patients: A Comparative Analysis of Seven Machine Learning Models.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

7 authors at 2 institutions in 1 country.

Zhuo LiuFourth Military Medical University, School of Nursing, Xi'an, People's Republic of China.ORCID 0000-0001-8696-8722
Dandan LiuPhysical Examination Center, The First Hospital of Jilin University, Changchun, People's Republic of China.
Zhen-Ni GuoDepartment of Neurology, The First Hospital of Jilin University, Changchun, People's Republic of China.
Hang JinDepartment of Neurology, The First Hospital of Jilin University, Changchun, People's Republic of China.
Tong SunCadre Ward, The First Hospital of Jilin University, Changchun, People's Republic of China.
Chunping Ni *Fourth Military Medical University, School of Nursing, Xi'an, People's Republic of China.
Xiuli Yan *Department of Neurology, The First Hospital of Jilin University, Changchun, People's Republic of China.ORCID 0000-0002-9228-0032
Jilin University · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep vein thrombosis (DVT) is common among patients with stroke. However, the incidence of DVT in acute ischemic stroke patients treated with thrombolytic therapy and the risk factors associated with this condition are unknown.

objectiveThis study aimed to investigate the incidence and risk factors of DVT after thrombolysis in patients with acute ischemic stroke. SETTINGS AND

methodsWe retrospectively reviewed the medical records of all patients with acute ischemic stroke who underwent ultrasonic examination after intravenous thrombolysis between April 2017 and December 2019 at the stroke center of the First Hospital of Jilin University, China. Color duplex ultrasound was used to diagnosis DVT in all patients within 72 h after intravenous thrombolysis. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for DVT.

resultsOverall, 474 patients were included in the study. Of these, 75 (15.8%) developed DVT (95% confidence interval 12.5-19.1). Older age was the risk factor that most significantly affected the development of DVT (

conclusionDVT is a common complication among patients undergoing intravenous thrombolysis after acute ischemic stroke. Advanced age may increase the occurrence of DVT to some extent. For these patients, safe antiplatelet therapy should be explored and implemented as soon as possible.

Indexed as

acute ischemic strokedeep vein thrombosisincidencerisk factorsthrombolytic therapy

Identifiers

PMID34511981
PMCPMC8427686
OpenAlexW3198220035

What Socratic holds

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LicenceCC BY-NC
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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.