Evidence map›Paper›PMID 32451375›Full record

ArticleNature communications2020

Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes.

M Fatih Abasıyanık, Krysta Wolfe, Hoang Van Phan, Jing Lin, Bharathi Laxman, Steven R White, Philip A Verhoef, Gökhan M Mutlu, Bhakti Patel, Savaş Tay

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

M Fatih Abasıyanık *Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.
Krysta Wolfe *Department of Medicine, Section of Pulmonary/Critical Care, The University of Chicago, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0001-5565-3496
Hoang Van PhanPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.
Jing LinPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0002-7162-3630
Bharathi LaxmanDepartment of Medicine, Section of Pulmonary/Critical Care, The University of Chicago, Chicago, IL, 60637, USA.
Steven R WhiteDepartment of Medicine, Section of Pulmonary/Critical Care, The University of Chicago, Chicago, IL, 60637, USA.
Philip A VerhoefDepartment of Medicine, Section of Pulmonary/Critical Care, The University of Chicago, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0002-1502-5468
Gökhan M MutluDepartment of Medicine, Section of Pulmonary/Critical Care, The University of Chicago, Chicago, IL, 60637, USA.
Bhakti PatelDepartment of Medicine, Section of Pulmonary/Critical Care, The University of Chicago, Chicago, IL, 60637, USA. bpatel@medicine.bsd.uchicago.edu.ORCID http://orcid.org/0000-0002-6517-2175
Savaş TayPritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA. tays@uchicago.edu.ORCID http://orcid.org/0000-0002-1912-6020
University of Chicago · USHawaii Department of Health · US

Funding

The Institute for Translational MedicineUL1TR002389 · NCATS · UNIVERSITY OF CHICAGO · PI Joshua J Jacobs, DAVID O MELTZER · 2017 to 2026
$71.6M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Type 2 Immune Responses Protect Against the Morbidity and Mortality of SepsisK08HL132109 · NHLBI · UNIVERSITY OF CHICAGO · PI VERHOEF, PHILIP A · 2016 to 2019
$656k
NCATS NIH HHS UL1 TR000430NCATS NIH HHS UL1 TR002389NHLBI NIH HHS K08 HL132109
6 · The paper itself

Abstract

Quantification of pathogen and host biomarkers is essential for the diagnosis, monitoring, and treatment of infectious diseases. Here, we demonstrate sensitive and rapid quantification of bacterial load and cytokines from human biological samples to generate actionable hypotheses. Our digital assay measures IL-6 and TNF-α proteins, gram-negative (GN) and gram-positive (GP) bacterial DNA, and the antibiotic-resistance gene bla

Indexed as

AsthmaBacterial Loadbeta-Lactam ResistanceBiomarkersBronchoalveolar Lavage FluidCase-Control StudiesCytokinesDecision TreesDNA, BacterialGenes, BacterialGram-Negative BacteriaGram-Positive BacteriaHost Microbial InteractionsHumansInterleukin-6Multiplex Polymerase Chain ReactionBiomarkersCytokinesDNA, BacterialIL6 protein, humanInterleukin-6Tumor Necrosis Factor-alpha

Identifiers

PMID32451375
PMCPMC7248118
OpenAlexW3026232927

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.