Evidence map›Paper›PMID 35562877›Full record

ReviewInternational journal of molecular sciences2022

Molecular Methodologies for Improved Polymicrobial Sepsis Diagnosis.

Mariam Doualeh, Matthew Payne, Edward Litton, Edward Raby, Andrew Currie

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Descriptive Epidemiology ofBioMed research international · 2025
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  17. Evaluation of T2 Magnetic Resonance (T2MRAntibiotics (Basel, Switzerland) · 2024
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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

5 authors.

Mariam DoualehCentre for Molecular Medicine & Innovative Therapeutics, Murdoch University, Murdoch, WA 6150, Australia.
Matthew PayneWomen and Infants Research Foundation, Perth, WA 6008, Australia.
Edward LittonIntensive Care Unit, Fiona Stanley Hospital, Murdoch, WA 6150, Australia.
Edward RabyState Burns Unit, Fiona Stanley Hospital, Murdoch, WA 6150, Australia.ORCID 0000-0003-1671-6188
Andrew CurrieCentre for Molecular Medicine & Innovative Therapeutics, Murdoch University, Murdoch, WA 6150, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymicrobial sepsis is associated with worse patient outcomes than monomicrobial sepsis. Routinely used culture-dependent microbiological diagnostic techniques have low sensitivity, often leading to missed identification of all causative organisms. To overcome these limitations, culture-independent methods incorporating advanced molecular technologies have recently been explored. However, contamination, assay inhibition and interference from host DNA are issues that must be addressed before these methods can be relied on for routine clinical use. While the host component of the complex sepsis host-pathogen interplay is well described, less is known about the pathogen's role, including pathogen-pathogen interactions in polymicrobial sepsis. This review highlights the clinical significance of polymicrobial sepsis and addresses how promising alternative molecular microbiology methods can be improved to detect polymicrobial infections. It also discusses how the application of shotgun metagenomics can be used to uncover pathogen/pathogen interactions in polymicrobial sepsis cases and their potential role in the clinical course of this condition.

Indexed as

CoinfectionSepsisHumansMetagenomicsmolecular diagnosticspathogen interactionsPCRpolymicrobial sepsis

Identifiers

PMID35562877
PMCPMC9104822

What OpenQuestion holds

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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.