Evidence map›Paper›PMID 26891612›Full record

ReviewExpert review of molecular diagnostics2016

How recent advances in molecular tests could impact the diagnosis of pneumonia.

David R Murdoch

Abstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. Impact of the microscopic quality of endotracheal aspirates on the performance of the Filmarray® pneumonia plus panel in intensive care unit patients with suspected lower respiratory tract infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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  9. Clinical Characteristics and Microorganisms Isolated in Community-Acquired Pneumonia in the COVID-19 Period.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 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

1 author.

David R Murdocha Department of Pathology , University of Otago, Christchurch, and Microbiology Unit, Canterbury Health Laboratories , Christchurch , New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular diagnostic tests have been the single major development in pneumonia diagnostics over recent years. Nucleic acid detection tests (NATs) have greatly improved the ability to detect respiratory viruses and bacterial pathogens that do not normally colonize the respiratory tract. In contrast, NATs do not yet have an established role for diagnosing pneumonia caused by bacteria that commonly colonize the nasopharynx due to difficulties discriminating between pathogens and coincidental carriage strains. New approaches are needed to distinguish infection from colonization, such as through use of quantitative methods and identification of discriminating cut-off levels. The recent realization that the lung microbiome exists has provided new insights into the pathogenesis of pneumonia involving the interaction between multiple microorganisms. New developments in molecular diagnostics must account for this new paradigm.

Indexed as

Blood CultureDiagnostic Tests, RoutineGuidelines as TopicHumansLungMicrobiotaMolecular Diagnostic TechniquesNasopharynxPneumonia, BacterialPneumonia, ViralReagent Kits, DiagnosticReagent Kits, Diagnosticdiagnosticsetiologymicrobiomemolecular testsPCRPneumonia

Identifiers

PMID26891612
PMCPMC7103682

What OpenQuestion holds

Textmetadata
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.