Evidence map›Paper›PMID 37469596›Full record

ArticleFrontiers in cellular and infection microbiology2023

Advantage of precision metagenomics for urinary tract infection diagnostics.

Sadia Almas, Rob E Carpenter, Chase Rowan, Vaibhav K Tamrakar, Joseph Bishop, Rahul Sharma

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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  4. Investigation of atypical microbial agents in patients with sterile pyuria.Annals of clinical microbiology and antimicrobials · 2026
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  7. Enrichment techniques for clinical metagenomics.Frontiers in cellular and infection microbiology · 2026
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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

6 authors.

Sadia AlmasDepartment of Research, Advanta Genetics, Tyler, TX, United States.
Rob E CarpenterDepartment of Research, Advanta Genetics, Tyler, TX, United States.
Chase RowanDepartment of Research, Advanta Genetics, Tyler, TX, United States.
Vaibhav K TamrakarDivison of Communicable Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur, India.
Joseph BishopDepartment of Research, Advanta Genetics, Tyler, TX, United States.
Rahul SharmaDepartment of Research, Advanta Genetics, Tyler, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urinary tract infections (UTIs) remain a diagnostic challenge and often promote antibiotic overuse. Despite urine culture being the gold standard for UTI diagnosis, some uropathogens may lead to false-negative or inconclusive results. Although PCR testing is fast and highly sensitive, its diagnostic yield is limited to targeted microorganisms. Metagenomic next-generation sequencing (mNGS) is a hypothesis-free approach with potential of deciphering the urobiome. However, clinically relevant information is often buried in the enormous amount of sequencing data. Methods: Precision metagenomics (PM) is a hybridization capture-based method with potential of enhanced discovery power and better diagnostic yield without diluting clinically relevant information. We collected 47 urine samples of clinically suspected UTI and in parallel tested each sample by microbial culture, PCR, and PM; then, we comparatively analyzed the results. Next, we phenotypically classified the cumulative microbial population using the Explify® data analysis platform for potential pathogenicity. Results: Results revealed 100% positive predictive agreement (PPA) with culture results, which identified only 13 different microorganisms, compared to 19 and 62 organisms identified by PCR and PM, respectively. All identified organisms were classified into phenotypic groups (0-3) with increasing pathogenic potential and clinical relevance. This PM can simultaneously quantify and phenotypically classify the organisms readily through bioinformatic platforms like Explify®, essentially providing dissected and quantitative results for timely and accurate empiric UTI treatment. Conclusion: PM offers potential for building effective diagnostic models beyond usual care testing in complex UTI diseases. Future studies should assess the impact of PM-guided UTI management on clinical outcomes.

Indexed as

MetagenomicsUrinary Tract InfectionsAnti-Bacterial AgentsComputational BiologyHigh-Throughput Nucleotide SequencingHumansAnti-Bacterial AgentsMNGsnext-generation sequencingPCRprecision metagenomicsurinary tract infectionsuropathogenUTI managementUTI treatment

Identifiers

PMID37469596
PMCPMC10352793

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Registered trials

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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.