Evidence map›Paper›PMID 33640018›Full record

ArticleBMC research notes2021

Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis.

Velma Herwanto, Benjamin Tang, Ya Wang, Maryam Shojaei, Marek Nalos, Amith Shetty, Kevin Lai, Anthony S McLean, Klaus Schughart

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.8field-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

34 citing papers in PubMed, 54 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

9 authors at 4 institutions in 4 countries.

Velma HerwantoDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Benjamin TangDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Ya WangDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Maryam ShojaeiDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Marek NalosDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Amith ShettyCentre for Infectious Diseases and Microbiology, the Westmead Institute for Medical Research, Sydney, Australia.
Kevin LaiDepartment of Emergency Medicine, Westmead Hospital, Sydney, Australia.
Anthony S McLeanDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, Australia.
Klaus SchughartDepartment of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany. kls@helmholtz-hzi.de.ORCID http://orcid.org/0000-0002-6824-7523
Nepean Hospital · AUWestmead Hospital · AUTarumanagara University · IDUniversity of Tennessee Health Science Center · US

Funding

Unlocking Zika Virus Immune Control and Pathogenesis with the Collaborative CrossU19AI100625 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HEISE, MARK T · 2012 to 2021
$36.6M
NIAID NIH HHS U19 AI100625
6 · The paper itself

Abstract

objectivesHospitalized patients who presented within the last 24 h with a bacterial infection were recruited. Participants were assigned into sepsis and uncomplicated infection groups. In addition, healthy volunteers were recruited as controls. RNA was prepared from whole blood, depleted from beta-globin mRNA and sequenced. This dataset represents a highly valuable resource to better understand the biology of sepsis and to identify biomarkers for severe sepsis in humans. DATA DESCRIPTION: The data presented here consists of raw and processed transcriptome data obtained by next generation RNA sequencing from 105 peripheral blood samples from patients with uncomplicated infections, patients who developed sepsis, septic shock patients, and healthy controls. It is provided as raw sequenced reads and as normalized log

Indexed as

Bacterial InfectionsSepsisCase-Control StudiesGene Expression ProfilingHumansTranscriptomeSepsisUncomplicated infectionWhole blood transcriptome

Identifiers

PMID33640018
PMCPMC7913415
OpenAlexW3135878441

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.