Evidence map›Paper›PMID 35426248›Full record

Observational studyJournal of thrombosis and haemostasis : JTH2022

Venous thrombosis risk during and after medical and surgical hospitalizations: The medical inpatient thrombosis and hemostasis (MITH) study.

Ximena Jordan Bruno, Insu Koh, Pamela L Lutsey, Robert F Walker, Nicholas S Roetker, Katherine Wilkinson, Nicolas L Smith, Timothy B Plante, Allen B Repp, Chris E Holmes and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of thrombosis and haemostasis : JTH, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Review
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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

12 authors.

Ximena Jordan BrunoHematology Oncology Division, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-8461-387X
Insu KohDepartment of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Pamela L LutseyDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-1572-1340
Robert F WalkerDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis, Minnesota, USA.
Nicholas S RoetkerChronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA.
Katherine WilkinsonDepartment of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Nicolas L SmithDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-3483-353X
Timothy B PlanteDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Allen B ReppDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Chris E HolmesDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Mary CushmanDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0002-7871-6143
Neil A ZakaiDepartment of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0001-8824-4410

Funding

Thrombosis and Bleeding Risk Assessment in Medical InpatientsR01HL141290 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Deirdra R Terrell, Neil Adrian Zakai · 2019 to 2026
$3.5M
Contemporary Venous Thromboembolism TreatmentR01HL131579 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2017 to 2020
$1.9M
NHLBI NIH HHS R01 HL131579NHLBI NIH HHS R01 HL141290
6 · The paper itself

Abstract

backgroundThirty to seventy percent of all venous thromboembolism (VTE) events are associated with hospitalization. The absolute and relative risks during and after hospitalization are poorly characterized.

objectivesQuantify the absolute rate and relative risk of VTE during and up to 3 months after medical and surgical hospitalizations. PATIENTS/

methodsWe conducted an observational cohort study between 2010 and 2016 of patients cared for by the University of Vermont (UVM) Health Network's primary care population. Cox proportional hazard models with hospitalization modeled as a time-varying covariate were used to estimate VTE risk.

resultsOver 4.3 years of follow-up, 55 220 hospitalizations (156 per 1000 person-years) and 713 first venous thromboembolism events (2.0 per 1000 person-years) occurred. Among individuals not recently hospitalized, the rate of venous thromboembolism was 1.4 per 1000 person-years and 71.8 per 1000 person-years during hospitalization. During the first, second, and third months after discharge, the rates of venous thromboembolism were 35.1, 11.3, and 5.2 per 1000 person-years, respectively. Relative to those not recently hospitalized, the age- and sex-adjusted HRs of venous thromboembolism were 38.0 (95% CI 28.0, 51.5) during hospitalization, and 18.4 (95% CI 15.0, 22.6), 6.3 (95% CI 4.3, 9.0), and 3.0 (95% CI 1.7, 5.4) during the first, second, and third months after discharge, respectively. Stratified by medical versus surgical services the rates were similar.

conclusionHospitalization and up to 3 months after discharge were strongly associated with increased venous thromboembolism risk. These data quantify this risk for use in future studies.

Indexed as

Venous ThromboembolismVenous ThrombosisCohort StudiesHemostasisHospitalizationHumansIncidenceInpatientsRisk Factorscohort studiesepidemiologyhospitalizationpatient dischargevenous thromboembolism

Identifiers

PMID35426248
PMCPMC9247009

What OpenQuestion holds

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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.