Evidence map›Paper›PMID 34877276›Full record

ArticleWorld journal of clinical cases2021

Establishment of a risk assessment score for deep vein thrombosis after artificial liver support system treatment.

Yun Ye, Xiang Li, Li Zhu, Cong Yang, You-Wen Tan

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2021. 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, top 81% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Yun YeDepartment of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.
Xiang LiDepartment of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.
Li ZhuDepartment of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.
Cong YangDepartment of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.
You-Wen TanDepartment of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China. tyw915@sina.com.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe artificial liver support system (ALSS) is an effective treatment method for liver failure, but it requires deep venous intubation and long-term indwelling catheterization. However, the coagulation mechanism disorder of basic liver failure diseases, and deep venous thrombosis (DVT) often occur.

aimTo evaluate the risk factors for DVT following use of an ALSS and establish a risk assessment score.

methodsThis study was divided into three stages. In the first stage, the risk factors for DVT were screened and the patient data were collected, including ALSS treatment information; biochemical indices; coagulation and hematology indices; complications; procoagulant use therapy status; and a total of 24 indicators. In the second stage, a risk assessment score for DVT after ALSS treatment was developed. In the third stage, the DVT risk assessment score was validated.

resultsA total of 232 patients with liver failure treated with ALSS were enrolled in the first stage, including 12 with lower limb DVT. Logistic regression analysis showed that age [odds ratio (OR), 1.734;

conclusionA simple risk assessment scoring system was established for DVT patients with liver failure treated with ALSS and was verified to have good sensitivity and specificity.

Indexed as

Artificial liver support systemDeep vein thrombosisLiver failureRisk factorsThrombosis

Identifiers

PMID34877276
PMCPMC8610855
OpenAlexW3208408162

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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.