Evidence map›Paper›PMID 34720754›Full record

ReviewCurrent infectious disease reports2021

Diagnostic Challenges in Sepsis.

Chris F Duncan, Taryn Youngstein, Marianne D Kirrane, Dagan O Lonsdale

Open access · hybridAbstract readReview
In one paragraph

Review in Current infectious disease reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
8.6field-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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 113 citations in OpenAlex.

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

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

4 authors at 4 institutions in 2 countries.

Chris F DuncanDepartment of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK.ORCID 0000-0002-3428-6962
Taryn YoungsteinDepartment of Rheumatology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.ORCID 0000-0002-8297-556X
Marianne D KirraneDepartment of Intensive Care Services, Royal Brisbane and Women's Hospital, Brisbane, Australia.ORCID 0000-0002-6822-8808
Dagan O LonsdaleDepartment of Critical Care, St George's University Hospitals NHS Foundation Trust, London, UK.ORCID 0000-0003-0838-921X
Imperial College Healthcare NHS Trust · GBSt George’s University Hospitals NHS Foundation Trust · GBSt George's, University of London · GBThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSepsis is a leading cause of death worldwide. Groundbreaking international collaborative efforts have culminated in the widely accepted surviving sepsis guidelines, with iterative improvements in management strategies and definitions providing important advances in care for patients. Key to the diagnosis of sepsis is identification of infection, and whilst the diagnostic criteria for sepsis is now clear, the diagnosis of infection remains a challenge and there is often discordance between clinician assessments for infection. RECENT

findingsWe review the utility of common biochemical, microbiological and radiological tools employed by clinicians to diagnose infection and explore the difficulty of making a diagnosis of infection in severe inflammatory states through illustrative case reports. Finally, we discuss some of the novel and emerging approaches in diagnosis of infection and sepsis. SUMMARY: While prompt diagnosis and treatment of sepsis is essential to improve outcomes in sepsis, there remains no single tool to reliably identify or exclude infection. This contributes to unnecessary antimicrobial use that is harmful to individuals and populations. There is therefore a pressing need for novel solutions. Machine learning approaches using multiple diagnostic and clinical inputs may offer a potential solution but as yet these approaches remain experimental.

Indexed as

Critical careDiagnosisInfectionSepsis

Identifiers

PMID34720754
PMCPMC8544629
OpenAlexW3208951450

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.