Evidence map›Paper›PMID 36525417›Full record

ArticlePloS one2022

Applicability of the Padua scale for Chinese rheumatic in-patients with venous thromboembolism.

Qing Peng, Xixi Chen, Yaxin Han, Guo Tang, Jiajun Liu, Yan Liu, Qiao Zhou, Li Long

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

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. [Latent profile analysis of nursesZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Evaluating of Existing VTE Risk Scales in Glioma Patients.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Observational
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

8 authors at 1 institution in 1 country.

Qing PengDepartment of Rheumatology, Chengdu Second People's Hospital, Chengdu, China.
Xixi ChenDepartment of Rheumatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Yaxin HanDepartment of Rheumatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Guo TangDepartment of Rheumatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Jiajun LiuDepartment of Rheumatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Yan LiuDepartment of Rheumatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Qiao ZhouDepartment of Rheumatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Li LongDepartment of Rheumatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-3753-057X
University of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the risk factors for venous thromboembolism (VTE) in hospitalized patients with rheumatic diseases in China. The efficacy of the Padua scale was evaluated and an improved model for predicting VTE in hospitalized patients with rheumatic diseases was developed.

methodsRecords of 2282 patients hospitalized in the department of rheumatology of the Sichuan Provincial People's Hospital were retrospectively reviewed. The risk factors for VTE were analyzed. The efficacy of the Padua scale was evaluated, Padua-combined prediction model and the independent risk factor-combined prediction model for predicting VTE were assessed using the receiver operating curve (ROC).

resultsA total of 50 patients in the VTE group and 2232 in the non-VTE group were included. Antiphospholipid syndrome (APS), VTE history, a hospital stay of over 3 days, high D-dimer (D-D), and decreased serum albumin were independent risk factors for VTE. APS was very closely associated with VTE (OR = 19.446). Padua scores in the VTE group and the non-VTE group were 3 (2, 6) and 2 (1, 2) points, respectively (p < 0.05), and the proportion of high-risk patients were 48.0% and 7.4%, respectively (p < 0.05). The incidence of VTE in the high-risk (Padua score ≥4) and low-risk (Padua score <4) groups was 12.7% and 1.2%, respectively (p < 0.05). The area under curve (AUC) of the Padua scale, Padua combined prediction model (Padua scale along with D-D and serum albumin), and the independent risk factor-combined prediction model was 0.771, 0.836, and 0.873, respectively.

conclusionThe Padua scale has limited predictive efficacy of VTE in hospitalized rheumatic patients. The independent risk factor-combination prediction model was superior in predicting VTE compared to Padua scale and Padua-combined prediction model.

Indexed as

Rheumatic DiseasesVenous ThromboembolismEast Asian PeopleHumansRetrospective StudiesRisk AssessmentRisk FactorsSerum AlbuminSerum Albumin

Identifiers

PMID36525417
PMCPMC9757592
OpenAlexW4311684331

What OpenQuestion holds

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LicenceCC BY
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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.