Evidence map›Paper›PMID 35372128›Full record

ReviewFrontiers in cellular and infection microbiology2022

Diagnosis and Management of Bloodstream Infections With Rapid, Multiplexed Molecular Assays.

Sherry A Dunbar, Christopher Gardner, Shubhagata Das

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2022. 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
5.0field-weighted citation impact, top 4% 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, 40 citations in OpenAlex.

  1. First clinical isolation ofOxford medical case reports · 2026
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  7. Rapid commercial CTX-M diagnostics: Performance, limitations and clinical impact.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
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  19. Point-of-Care Method T2BacteriaMicroorganisms · 2024
    Article
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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

3 authors at 1 institution in 1 country.

Sherry A DunbarLuminex Corporation, A DiaSorin Company, Austin, TX, United States.
Christopher GardnerLuminex Corporation, A DiaSorin Company, Austin, TX, United States.
Shubhagata DasLuminex Corporation, A DiaSorin Company, Austin, TX, United States.
Luminex (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infection is a major health concern, responsible for considerable morbidity and mortality across the globe. Prompt identification of the responsible pathogen in the early stages of the disease allows clinicians to implement appropriate antibiotic therapy in a timelier manner. Rapid treatment with the correct antibiotic not only improves the chances of patient survival, but also significantly reduces the length of hospital stay and associated healthcare costs. Although culture has been the gold standard and most common method for diagnosis of bloodstream pathogens, it is being enhanced or supplanted with more advanced methods, including molecular tests that can reduce the turnaround time from several days to a few hours. In this article, we describe two rapid, molecular bloodstream infection panels that identify the most common pathogens and associated genetic determinants of antibiotic resistance - the Luminex

Indexed as

BacteremiaSepsisAnti-Bacterial AgentsBlood CultureHumansMolecular Diagnostic TechniquesAnti-Bacterial Agentsantibiotic resistanceantimicrobial stewardshipbloodstream infectionmicroarraymolecular diagnostics

Identifiers

PMID35372128
PMCPMC8966137
OpenAlexW4221036399

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.