Evidence map›Paper›PMID 35379946›Full record

ArticleNPJ digital medicine2022

Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR.

Emily B Brant, Jason N Kennedy, Andrew J King, Lawrence D Gerstley, Pranita Mishra, David Schlessinger, James Shalaby, Gabriel J Escobar, Derek C Angus, Christopher W Seymour and 1 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Improving Sepsis Outcomes in the Era of Pay-for-Performance and Electronic Quality Measures: A Joint IDSA/ACEP/PIDS/SHEA/SHM/SIDP Position Paper.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  8. Article
  9. Article
  10. 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

11 authors.

Emily B BrantDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. branteb@upmc.edu.ORCID http://orcid.org/0000-0002-0207-8210
Jason N KennedyDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Andrew J KingDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-9809-0563
Lawrence D GerstleyKaiser Permanente Division of Research, Oakland, CA, USA.
Pranita MishraKaiser Permanente Division of Research, Oakland, CA, USA.
David SchlessingerKaiser Permanente Division of Research, Oakland, CA, USA.
James ShalabyElimu Informatics, Richmond, CA, USA.
Gabriel J EscobarKaiser Permanente Division of Research, Oakland, CA, USA.ORCID http://orcid.org/0000-0003-2540-3327
Derek C AngusDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Christopher W Seymour *Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Vincent X Liu *Kaiser Permanente Division of Research, Oakland, CA, USA.

Funding

Multidisciplinary Training in Critical Care Outcomes ResearchT32HL007820 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Timothy D Girard, Jeremy M Kahn · 1996 to 2026
$6.4M
Sepsis subtypes: biology, treatment, and bedside applicationR35GM119519 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Christopher W. Seymour · 2016 to 2026
$4.9M
Identifying pre-sepsis opportunities for early, targeted intervention - Equipment SupplementR35GM128672 · NIGMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI Vincent Liu · 2018 to 2026
$4.3M
Pre-hospital identification of high-risk sepsisK23GM104022 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEYMOUR, CHRISTOPHER WARREN · 2013 to 2016
$674k
REMISE study: REMnant biospecimen Investigation in SEpsisR21GM144851 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEYMOUR, CHRISTOPHER WARREN · 2022 to 2023
$438k
Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation) 8857NHLBI NIH HHS T32 HL007820NIGMS NIH HHS K23 GM104022NIGMS NIH HHS R21 GM144851NIGMS NIH HHS R35 GM119519NIGMS NIH HHS R35 GM128672U.S. Department of Health & Human Services | National Institutes of Health (NIH) 2-T32-HL007820-21U.S. Department of Health & Human Services | National Institutes of Health (NIH) K23GM104022U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM119519U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM128672
6 · The paper itself

Abstract

The development of a shared data infrastructure across health systems could improve research, clinical care, and health policy across a spectrum of diseases, including sepsis. Awareness of the potential value of such infrastructure has been heightened by COVID-19, as the lack of a real-time, interoperable data network impaired disease identification, mitigation, and eradication. The Sepsis on FHIR collaboration establishes a dynamic, federated, and interoperable system of sepsis data from 55 hospitals using 2 distinct inpatient electronic health record systems. Here we report on phase 1, a systematic review to identify clinical variables required to define sepsis and its subtypes to produce a concept mapping of elements onto Fast Healthcare Interoperability Resources (FHIR). Relevant papers described consensus sepsis definitions, provided criteria for sepsis, severe sepsis, septic shock, or detailed sepsis subtypes. Studies not written in English, published prior to 1970, or "grey" literature were prospectively excluded. We analyzed 55 manuscripts yielding 151 unique clinical variables. We then mapped variables to their corresponding US Core FHIR resources and specific code values. This work establishes the framework to develop a flexible infrastructure for sharing sepsis data, highlighting how FHIR could enable the extension of this approach to other important conditions relevant to public health.

Identifiers

PMID35379946
PMCPMC8979949

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.