Evidence map›Paper›PMID 36304969›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2022

Superior Predictive Value of D-Dimer to the Padua Prediction Score for Venous Thromboembolism in Inpatients with AECOPD: A Multicenter Cohort Study.

Chen Zhou, Yujie Guang, Yuanming Luo, Huiqing Ge, Hailong Wei, Huiguo Liu, Jianchu Zhang, Pinhua Pan, Jiarui Zhang, Lige Peng and 8 more

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 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

18 authors at 8 institutions in 1 country.

Chen Zhou *West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Yujie Guang *West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Yuanming LuoState Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong Province, People's Republic of China.
Huiqing GeDepartment of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People's Republic of China.
Hailong WeiDepartment of Respiratory and Critical Care Medicine, People's Hospital of Leshan, Leshan, Sichuan Province, People's Republic of China.
Huiguo LiuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China.
Jianchu ZhangDepartment of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China.
Pinhua PanDepartment of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.
Jiarui ZhangDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Lige PengDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.ORCID 0000-0003-3324-053X
Adila AiliDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Yu LiuDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Jiaqi PuDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Xia ZhongWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Yixi WangWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Qun YiDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.ORCID 0000-0002-3302-9139
Haixia ZhouDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
MAGNET AECOPD Registry Investigators
Sichuan University · CNUnion Hospital · CNCentral South University · CNPeople's Hospital of Bishan District · CNSir Run Run Shaw Hospital · CNState Key Laboratory of Respiratory Disease · CNTongji Hospital · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The optimal tool for risk prediction of venous thromboembolism (VTE) in inpatients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is still unknown. This study aimed to evaluate whether D-dimer could predict the risk of VTE in inpatients with AECOPD compared to the Padua Prediction Score (PPS). Methods: Inpatients with AECOPD were prospectively enrolled from seven medical centers in China between December 2018 and June 2020. On admission, D-dimer was detected, PPS was calculated for each patient, and the incidence of 2-month VTE was investigated. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of D-dimer and PPS on VTE development, and the best cut-off value for both methods was evaluated through the Youden index. Results: Among the 4468 eligible patients with AECOPD, 90 patients (2.01%) developed VTE within 2 months after admission. The area under the receiver operating characteristic curves (AUCs) of D-dimer for predicting VTE were significantly higher than those of the PPS both in the overall cohort (0.724, 95% CI 0.672-0.776 vs 0.620, 95% CI 0.562-0.679; P<0.05) and the subgroup of patients without thromboprophylaxis (0.747, 95% CI 0.695-0.799 vs 0.640, 95% CI 0.582-0.698; P<0.05). By calculating the Youden Index, the best cut-off value of D-dimer was determined to be 0.96 mg/L with an AUC of 0.689, which was also significantly better than that of the PPS with the best cut-off value of 2 (AUC 0.581, P=0.007). After the combination of D-dimer with PPS, the AUC (0.621) failed to surpass D-dimer alone (P=0.104). Conclusion: D-dimer has a superior predictive value for VTE over PPS in inpatients with AECOPD, which might be a better choice to guide thromboprophylaxis in inpatients with AECOPD due to its effectiveness and convenience. Clinical Trial Registration: Chinese Clinical Trail Registry NO. ChiCTR2100044625; URL: http://www.chictr.org.cn/showproj.aspx?proj=121626.

Indexed as

Pulmonary Disease, Chronic ObstructiveVenous ThromboembolismAnticoagulantsCohort StudiesFibrin Fibrinogen Degradation ProductsHumansInpatientsRetrospective StudiesAnticoagulantsFibrin Fibrinogen Degradation Productsfibrin fragment Dacute exacerbation of chronic obstructive pulmonary diseaseD-dimerinpatientsPadua Prediction Scorevenous thromboembolism

Identifiers

PMID36304969
PMCPMC9595060
OpenAlexW4306897043

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.