Evidence map›Paper›PMID 37908071›Full record

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

Venous Thromboembolism Risk Assessment in Hospitalized Cancer Patients: A Single Center Study.

Supratik Rayamajhi, Shiva Shrotriya, Manoj Rai, Prajwal Dhakal, Nishraj Basnet, Mukta Sharma, Alexa Lupi, Joseph Gardiner

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

Article 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Supratik RayamajhiDepartment of Internal Medicine, Michigan State University, East Lansing, MI, USA.
Shiva ShrotriyaDepartment of Internal Medicine, Michigan State University, East Lansing, MI, USA.
Manoj RaiDepartment of Internal Medicine, Michigan State University, East Lansing, MI, USA.ORCID 0000-0003-4162-033X
Prajwal DhakalDepartment of Internal Medicine, Michigan State University, East Lansing, MI, USA.
Nishraj BasnetDepartment of Internal Medicine, Michigan State University, East Lansing, MI, USA.
Mukta SharmaDepartment of Internal Medicine, Michigan State University, East Lansing, MI, USA.
Alexa LupiDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA.
Joseph GardinerDepartment of Internal Medicine, Sparrow/Michigan State University Internal Medicine Residency Program, Lansing, MI, USA.
Michigan State University · USBeaumont Health · USOregon Health & Science University · USUniversity of Iowa Hospitals and Clinics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify predictors of venous thromboembolism (VTE) in hospitalized cancer patients and develop a predictive model using demographic, clinical, and laboratory data. Our analysis showed that patient groups categorized under a very high risk, and high risk, patients with low hemoglobin levels and renal disease were at a significantly increased risk of developing VTE. We developed a VTE risk-assessment model (RAM) with moderate discriminatory performance, high specificity, and negative predictive value, indicating its potential utility in identifying patients without VTE risk. However, the model's positive predictive value and sensitivity were low due to the low prevalence of VTE within the analyzed population. Future studies are needed to analyze additional predictive factors, and to validate the effectiveness of our VTE RAM to safely rule out VTE, compare it with other VTE RAMs in hospitalized cancer patients, and address any limitations of our study.

Indexed as

NeoplasmsVenous ThromboembolismHumansPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk Factorscancer patientsinpatient settingvenous thromboembolismVTE RAMVTE risk predictors

Identifiers

PMID37908071
PMCPMC10621296
OpenAlexW4388140615

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.