Evidence mapPaperPMID 37620792Full record

ArticleBMC pregnancy and childbirth2023

Development and validation of a facile rapid assessment scale for perinatal venous thromboembolism in puerperium in Chinese women.

Xiujuan Chen, Wei Peng, Yan Zhang, Huansheng Zhou, Meng Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 2 institutions in 1 country.

Xiujuan ChenNursing Department, the Affiliated Hospital of Qingdao University, Qingdao, China.
Wei PengDepartment of Obstetrics, the Affiliated Hospital of Qingdao University, Qingdao, China.
Yan ZhangDepartment of Obstetrics, the Affiliated Hospital of Qingdao University, Qingdao, China.
Huansheng ZhouDepartment of Obstetrics, the Affiliated Hospital of Qingdao University, Qingdao, China.
Meng ZhangDepartment of Obstetrics, the Affiliated Hospital of Qingdao University, Qingdao, China. zhangmeng_qd@126.com.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

Youth Foundation of the Affiliated Hospital of Qingdao University QDFYQN202102027
6 · The paper itself

Abstract

backgroundIt is still urgent and challenge to develop a simple risk assessment scale for venous thromboembolism (VTE) in puerperium in Chinese women.

methodsThe study, a retrospective case-control study, was conducted in 12 hospitals in different cities in China. A total of 1152 pregnant women were selected, including 384 cases with VTE and 768 cases without VTE. A logistic regression method was conducted to determine the risk factors of VTE.

resultsAge, BMI before delivery, gestational diabetes mellitus, family history (thrombosis, diabetes, cardiovascular disease), and assisted reproductive technology were independent risk factors (P<0.05). The difference between the high-risk group and the low-risk group was statistically significant(P<0.001) with a sensitivity of 0.578, specificity of 0.756, Yuden index o.334, and area under the ROC curve of 0.878.

conclusionsThe age (≥ 35 years), BMI before delivery (≥ 30 kg/m

Indexed as

Diabetes, GestationalVenous ThromboembolismAdultCase-Control StudiesEast Asian PeopleFemaleHumansPostpartum PeriodPregnancyRetrospective StudiesFull-term parturient womenPerinatal venous thromboembolismPregnant womanRisk assessment scaleRisk factors

Identifiers

PMID37620792
PMCPMC10464158
OpenAlexW4386139878

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.