Evidence map›Paper›PMID 30789749›Full record

ArticleAmerican journal of respiratory and critical care medicine2019

Identifying Novel Sepsis Subphenotypes Using Temperature Trajectories.

Sivasubramanium V Bhavani, Kyle A Carey, Emily R Gilbert, Majid Afshar, Philip A Verhoef, Matthew M Churpek

Open access · greenAbstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
12.6field-weighted citation impact, top 1% 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

141 citing papers in PubMed, 208 citations in OpenAlex.

  1. Trial
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  3. A neutrophil subset defined by intracellular olfactomedin 4 is associated with mortality in sepsis.American journal of physiology. Lung cellular and molecular physiology · 2021
    Trial
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  15. The poikilothermic hypothesis of sepsis.Critical care (London, England) · 2026
    Review
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  17. Review
  18. Review
  19. Review
  20. Article

81 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sivasubramanium V Bhavani1Department of Medicine and.ORCID 0000-0002-9640-6720
Kyle A Carey1Department of Medicine and.
Emily R Gilbert2Department of Medicine, Loyola University Medical Center, Chicago, Illinois.
Majid Afshar2Department of Medicine, Loyola University Medical Center, Chicago, Illinois.
Philip A Verhoef1Department of Medicine and.ORCID 0000-0002-1502-5468
Matthew M Churpek1Department of Medicine and.
Loyola University Medical Center · USUniversity of Illinois Chicago · US

Funding

Sepsis Early Prediction and Subphenotype Illumination Study (SEPSIS)R01GM123193 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI CHURPEK, MATTHEW MICHAEL · 2017 to 2021
$1.9M
CHANGE OF GRANTEE INSTITUTION 1 K23 AA024503 Alcohol, Burn-Injury, and Acute Respiratory Distress SyndromeK23AA024503 · NIAAA · UNIVERSITY OF WISCONSIN-MADISON · PI AFSHAR, MAJID · 2016 to 2020
$948k
Predicting In-hospital Cardiac Arrest Using Electronic Health Record DataK08HL121080 · NHLBI · UNIVERSITY OF CHICAGO · PI CHURPEK, MATTHEW MICHAEL · 2014 to 2018
$751k
Type 2 Immune Responses Protect Against the Morbidity and Mortality of SepsisK08HL132109 · NHLBI · UNIVERSITY OF CHICAGO · PI VERHOEF, PHILIP A · 2016 to 2019
$656k
NHLBI NIH HHS K08 HL121080NHLBI NIH HHS K08 HL132109NIAAA NIH HHS K23 AA024503NIGMS NIH HHS R01 GM123193
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Body TemperatureAgedCohort StudiesFemaleFeverHospitalizationHospital MortalityHumansMaleMiddle AgedSepsisTime Factorsgroup-based trajectory modelinginfectionsepsistemperature

Identifiers

PMID30789749
PMCPMC6680307
OpenAlexW2915144372

What OpenQuestion holds

Textmetadata
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.