Evidence map›Paper›PMID 37997283›Full record

Trial reportClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Establishment and Validation of a Postoperative VTE Prediction Model in Patients with Colorectal Cancer Undergoing Radical Resection: CRSPOT Nomogram.

Yanan Wu, Lu Wang, Qiaoli Yin, Liqin Deng, Junyang Ma, Xiaoxia Tian

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. 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
1.9field-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

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

6 authors at 1 institution in 1 country.

Yanan WuDepartment of Anesthesiology, General Hospital of Ningxia Medical University, Yinchuan, China.
Lu WangDepartment of Anesthesiology, General Hospital of Ningxia Medical University, Yinchuan, China.
Qiaoli YinDepartment of Anesthesiology, Peking University First Hospital Ningxia Women and Children's Hospital (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), PKUFH-NINGXIA Women & Children's Hospital (Maternal and Child Health Hospital of the Autonomous Region), Yinchuan, China.
Liqin DengDepartment of Anesthesiology, General Hospital of Ningxia Medical University, Yinchuan, China.ORCID 0009-0008-1400-0921
Junyang MaDepartment of Anesthesiology, General Hospital of Ningxia Medical University, Yinchuan, China.
Xiaoxia TianDepartment of Anesthesiology, General Hospital of Ningxia Medical University, Yinchuan, China.
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Venous thromboembolism (VTE) is a life-threatening postoperative complication of malignant tumors. We identified risk factors for postoperative VTE in patients undergoing radical resection of colorectal cancer (CRC) and constructed and validated a clinical prediction model. Clinical data of 982 patients undergoing radical resection of CRC from September 1, 2020, to March 31, 2022, in Ningxia Medical University General Hospital were analyzed retrospectively. Patients were randomly divided into training (

Indexed as

Colorectal NeoplasmsVenous ThromboembolismHumansModels, StatisticalNomogramsPostoperative ComplicationsPrognosisRetrospective StudiesRisk Factorscolorectal cancernomogramprediction modelradical resectionvenous thromboembolism

Identifiers

PMID37997283
PMCPMC10668569
OpenAlexW4388982200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.