Evidence map›Paper›PMID 35242863›Full record

ArticleAnnals of translational medicine2022

Validation of two risk assessment models for venous thromboembolism in patients undergoing gynecologic surgery.

Tao Guo, Miaomiao Li, Cui-Qin Sang, Zhen-Yu Zhang, Ruijun Guo, Ruigang Lu, Peng Qu, Wen Cao, Wei Zhao, Bin Li and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

14 authors at 6 institutions in 1 country.

Tao Guo *Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Miaomiao Li *Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Cui-Qin SangDepartment of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Zhen-Yu ZhangDepartment of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Ruijun GuoDepartment of Ultrasonography, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Ruigang LuDepartment of Ultrasonography, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Peng QuDepartment of Ultrasonography, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Wen CaoDepartment of Ultrasonography, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Wei ZhaoDepartment of Ultrasonography, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Bin LiDepartment of Obstetrics and Gynecology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jian-Liu WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Jian-Jun ZhaiDepartment of Obstetrics and Gynecology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Lei SongDepartment of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing, China.
Zhi-Qiang ZhangDepartment of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Beijing Chao-Yang Hospital · CNCapital Medical University · CNBeijing Anzhen Hospital · CNBeijing Tongren Hospital · CNChinese PLA General Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to published guidelines, gynecologic surgical patients should be stratified into different risk level groups to receive prophylaxis for venous thromboembolism (VTE), but the applicability of available risk assessment models (RAMs) in common gynecologic surgical patients remained to be confirmed. We aimed to validate the use of the Caprini RAM and gynecologic Caprini (G-Caprini) RAM for assessing postoperative VTE risk in gynecologic surgical patients.

methodsThe database of a randomized controlled trial (RCT) was used to select patients who underwent gynecologic surgeries for benignant and malignant diseases in five institutions in China between 2011 and 2018. The Caprini RAM version recommended by the American College of Chest Physicians (ACCP) was adopted. Participants were divided into four risk levels based on the Caprini and G-Caprini scores. For each risk level group, the incidence of VTE was calculated. The correlation between VET incidence and risk levels was assessed by Spearman's rank correlation coefficient (RS) value.

resultsAs a result, 800 patients in the data base were analyzed with an overall VTE incidence of 5.8%. Caprini RAM showed that the percentage of patients at very low risk, low risk, moderate risk, and high risk were 0%, 4.3%, 44.4%, and 51.4%, respectively, and the VTE incidence was 2.9%, 2.3%, and 9.0%, respectively. RS value between the risk stratification and VTE incidence was 0.500 (P=0.667). G-Caprini RAM showed that the percentage of patients at very low risk, low risk, moderate risk, and high risk were 7.8%, 28.0%, 32.0%, and 32.3%, respectively, and the VTE incidence was 0.0%, 2.9%, 2.3%, and 9.0%, respectively. RS value between the risk stratification and VTE incidence was 1.000 (P<0.01).

conclusionsThe G-Caprini RAM was as suitable as the Caprini RAM for VTE risk assessment in gynecologic surgical patients. The gynecologic model has the advantages of ease of use and more accurate identification of low-risk groups.

Indexed as

Caprini risk assessment model (Caprini RAM)gynecologic Caprini risk assessment model (G-Caprini RAM)gynecologic surgical patientsrisk assessment model (RAM)venous thromboembolism (VTE)

Identifiers

PMID35242863
PMCPMC8825541
OpenAlexW4206019611

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.