Evidence map›Paper›PMID 38594918›Full record

ArticleJournal of hospital medicine2024

Predicting stroke risk after sepsis hospitalization with new-onset atrial fibrillation.

Laura C Myers, Ithan D Peltan, Khanh K Thai, Patricia Kipnis, Manisha Desai, Ycar Devis, Heather Clancy, Yun W Lu, Samuel M Brown, Alan S Go and 3 more

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

Article in Journal of hospital medicine, 2024. 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
2.4field-weighted citation impact, top 11% 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, 6 citations in OpenAlex.

  1. Trial
  2. Review
  3. Anticoagulation and thromboembolic risk in critically ill patients with trigger-induced atrial fibrillation-A systematic review and meta-analysis.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
    Review
  4. Review
  5. 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

13 authors at 4 institutions in 1 country.

Laura C MyersThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.ORCID http://orcid.org/0000-0002-2872-3388
Ithan D PeltanDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, USA.
Khanh K ThaiThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.
Patricia KipnisThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.
Manisha DesaiBiomedical Informatics Department, Stanford University, Palo Alto, California, USA.
Ycar DevisSection of Pulmonary, Critical Care, Allergy, Sleep Medicine, Department of Medicine,  The Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, USA.
Heather ClancyThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.
Yun W LuThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.
Samuel M BrownDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, USA.
Alan S GoThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.
Romain S NeugebauerThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.
Vincent X LiuThe Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, USA.
Allan J WalkeySection of Pulmonary, Critical Care, Allergy, Sleep Medicine, Department of Medicine,  The Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, USA.
Kaiser Permanente · USBoston University · USUniversity of Utah · USPalo Alto University · US

Funding

Targeting cardiovascular events to improve patient outcomes after sepsisR01HL139751 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2018 to 2021
$2.8M
Measuring and Learning from Care Variation in SepsisR35GM151147 · NIGMS · IHC HEALTH SERVICES, INC. · PI Ithan Daniel Peltan · 2023 to 2026
$1.5M
Prehospital Activation of ED Teams to Improve Sepsis CareK23GM129661 · NIGMS · IHC HEALTH SERVICES, INC. · PI PELTAN, ITHAN DANIEL · 2019 to 2023
$786k
CSL BehringiRhythm TechnologiesJanssenJanssen Research and DevelopmentNational Heart, Lung and Blood InstituteNHLBI NIH HHS 5R01HL139751 02NHLBI NIH HHS R01 HL139751NIGMS NIH HHS K23 GM129661NIGMS NIH HHS R35 GM151147Regeneron
6 · The paper itself

Abstract

backgroundNew-onset atrial fibrillation (AF) during sepsis is common, but models designed to stratify stroke risk excluded patients with secondary AF. We assessed the predictive validity of CHA

methodsWe included patients ≥40 years old who survived hospitalizations with sepsis and new-onset AF across 21 Kaiser Permanente Northern California hospitals from January 1, 2011 to September 30, 2017. We calculated the area under the receiver operating curve (AUC) for CHA

resultsAmong 82,748 adults hospitalized with sepsis, 3992 with new-onset AF (median age: 80 years, median CHA

conclusionCurrent models do not accurately stratify risk of stroke following new-onset AF secondary to sepsis. New tools are required to guide anticoagulation decisions following new-onset AF in sepsis.

Indexed as

Atrial FibrillationHospitalizationSepsisStrokeAgedAged, 80 and overCaliforniaFemaleHumansIschemic Attack, TransientMaleMiddle AgedRisk AssessmentRisk Factors

Identifiers

PMID38594918
PMCPMC11790280
OpenAlexW4394688487

What OpenQuestion holds

Textmetadata
LicenceTDM
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.