Evidence map›Paper›PMID 37303490›Full record

ArticleBMJ medicine2023

Risk of admission to hospital with arterial or venous thromboembolism among patients diagnosed in the ambulatory setting with covid-19 compared with influenza: retrospective cohort study.

Vincent Lo Re, Sarah K Dutcher, John G Connolly, Silvia Perez-Vilar, Dena M Carbonari, Terese A DeFor, Djeneba Audrey Djibo, Laura B Harrington, Laura Hou, Sean Hennessy and 12 more

Abstract read
In one paragraph

Article in BMJ medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

22 authors.

Vincent Lo ReDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7955-0600
Sarah K DutcherOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0003-0574-2890
John G ConnollyDepartment of Population Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-1916-557X
Silvia Perez-VilarOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0003-1272-1502
Dena M CarbonariDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-0310-270X
Terese A DeForHealthPartners Institute, Bloomington, MN, USA.
Djeneba Audrey DjiboCVS Health Clinical Trial Services, an affiliate of Aetna, CVS Health Company, Blue Bell, PA, USA.ORCID 0000-0003-3378-0691
Laura B HarringtonKaiser Permanente Washington Health Research Institute and Department of Epidemiology, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5951-8291
Laura HouDepartment of Population Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0847-2574
Sean HennessyDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-4726-9413
Rebecca A HubbardDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-0879-0994
Maria E KempnerDepartment of Population Medicine, Harvard Medical School, Boston, MA, USA.
Jennifer L KuntzKaiser Permanente Northwest Center for Health Research, Portland, OR, USA.ORCID 0000-0002-0017-6853
Cheryl N McMahill-WalravenCVS Health Clinical Trial Services, an affiliate of Aetna, CVS Health Company, Blue Bell, PA, USA.ORCID 0000-0002-3765-6527
Jolene MosleyDepartment of Population Medicine, Harvard Medical School, Boston, MA, USA.
Pamala A PawloskiHealthPartners Institute, Bloomington, MN, USA.ORCID 0000-0002-1005-5764
Andrew B PetroneDepartment of Population Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8413-6236
Allyson M PishkoDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-9997-454X
Meighan Rogers DriscollDepartment of Population Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-1371-9658
Claudia A SteinerKaiser Permanente Colorado Institute for Health Research, Aurora, CO, USA.
Yunping ZhouHumana Healthcare Research, Inc, Louisville, KY, USA.
Noelle M CocorosDepartment of Population Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-7090-2761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To measure the 90 day risk of arterial thromboembolism and venous thromboembolism among patients diagnosed with covid-19 in the ambulatory (ie, outpatient, emergency department, or institutional) setting during periods before and during covid-19 vaccine availability and compare results to patients with ambulatory diagnosed influenza. Design: Retrospective cohort study. Setting: Four integrated health systems and two national health insurers in the US Food and Drug Administration's Sentinel System. Participants: Patients with ambulatory diagnosed covid-19 when vaccines were unavailable in the US (period 1, 1 April-30 November 2020; n=272 065) and when vaccines were available in the US (period 2, 1 December 2020-31 May 2021; n=342 103), and patients with ambulatory diagnosed influenza (1 October 2018-30 April 2019; n=118 618). Main outcome measures: Arterial thromboembolism (hospital diagnosis of acute myocardial infarction or ischemic stroke) and venous thromboembolism (hospital diagnosis of acute deep venous thrombosis or pulmonary embolism) within 90 days after ambulatory covid-19 or influenza diagnosis. We developed propensity scores to account for differences between the cohorts and used weighted Cox regression to estimate adjusted hazard ratios of outcomes with 95% confidence intervals for covid-19 during periods 1 and 2 versus influenza. Results: 90 day absolute risk of arterial thromboembolism with covid-19 was 1.01% (95% confidence interval 0.97% to 1.05%) during period 1, 1.06% (1.03% to 1.10%) during period 2, and with influenza was 0.45% (0.41% to 0.49%). The risk of arterial thromboembolism was higher for patients with covid-19 during period 1 (adjusted hazard ratio 1.53 (95% confidence interval 1.38 to 1.69)) and period 2 (1.69 (1.53 to 1.86)) than for patients with influenza. 90 day absolute risk of venous thromboembolism with covid-19 was 0.73% (0.70% to 0.77%) during period 1, 0.88% (0.84 to 0.91%) during period 2, and with influenza was 0.18% (0.16% to 0.21%). Risk of venous thromboembolism was higher with covid-19 during period 1 (adjusted hazard ratio 2.86 (2.46 to 3.32)) and period 2 (3.56 (3.08 to 4.12)) than with influenza. Conclusions: Patients diagnosed with covid-19 in the ambulatory setting had a higher 90 day risk of admission to hospital with arterial thromboembolism and venous thromboembolism both before and after covid-19 vaccine availability compared with patients with influenza.

Indexed as

covid-19infectious disease medicinethromboembolism

Identifiers

PMID37303490
PMCPMC10254785

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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.