Evidence map›Paper›PMID 31234861›Full record

ArticleJournal of orthopaedic surgery and research2019

A nested case-control study on the risk factors of deep vein thrombosis for Chinese after total joint arthroplasty.

Hong Xu, Shaoyun Zhang, Jinwei Xie, Yiting Lei, Guorui Cao, Guo Chen, Fuxing Pei

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  14. [Comparison of hemostatic effect and safety in primary unilateral total hip arthroplasty receiving different anticoagulants after anti-fibrinolysis with tranexamic acid].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2020
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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

7 authors at 3 institutions in 1 country.

Hong XuDepartment of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Shaoyun ZhangDepartment of Orthopedics, The Third Hospital of Mianyang • Sichuan Mental Health Center, No. 190 The East Jiannan Road, Mianyang, 621000, People's Republic of China.
Jinwei XieDepartment of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Yiting LeiDepartment of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Guorui CaoDepartment of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Guo ChenDepartment of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Fuxing PeiDepartment of Orthopaedic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China. peifuxingvip@yeah.net.
Sichuan University · CNWest China Hospital of Sichuan University · CNMianyang Third People's Hospital · CN

Funding

Department of Science and Technology for Social Development 201302007
6 · The paper itself

Abstract

backgroundDeep vein thrombosis (DVT) is one of the life-threatening complications of total joint arthroplasty (TJA) postoperatively, and its risk factors are still controversial. The aim of this study was to identify the risk factors of DVT after TJA. STUDY DESIGN AND

methodsA nested case-control study based on a large dataset of 15,326 patients undergoing TJA was performed. Potential risk factors of DVT and demographic information were extracted from the electronic health record. Patients with DVT (73 patients) were treated as study group while non-DVT patients who were matched 1:4 according to the anticoagulant type, were considered as control group (292 patients). These variables of potential risk factors for DVT including age, sex, body mass index (BMI), American Society of Anesthesiologists class, comorbidity, preoperative hemoglobin (HB) level and analgesic use, surgical site (knee or hip) and type, the start time of drug anticoagulation, ambulation time, transfusion, and whether to use tranexamic acid (TXA), drain, human serum albumin, and measures of physical thromboprophylaxis after operation were collected and evaluated by survival analysis and presented as P value and odds ratio with 95% confidence interval.

resultsThere were 15,326 patients underwent TJA and 73 (0.48%) patients had DVT among them, and the occurrence rates were 0.71% for the patients underwent total knee arthroplasty (TKA) while 0.24% for total hip arthroplasty. The risk factors associated with DVT included TKA (compared with THA), advanced age (> 70 years), drain use, and delayed ambulation (≥ 72 h) postoperatively.

conclusionThe present results suggest that the occurrence rate of DVT on the patients underwent TJA was low (0.48%) relatively. And the risk factors associated with increased risk of DVT included TKA (compared with THA), advanced age, drain use, and delayed ambulation postoperatively. Individualized and more efficient risk stratification protocols of anticoagulation after TJA for Chinese may need to be developed in the future.

Indexed as

AgedAge FactorsArthroplasty, ReplacementArthroplasty, Replacement, HipArthroplasty, Replacement, KneeBody Mass IndexCase-Control StudiesChinaFemaleHemoglobinsHumansMaleMiddle AgedRisk FactorsSex FactorsVenous ThrombosisHemoglobinsDeep vein thrombosisRisk factorTotal knee and hip arthroplasty

Identifiers

PMID31234861
PMCPMC6591890
OpenAlexW2950524032

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.