Evidence map›Paper›PMID 42519698›Full record

ArticleFrontiers in microbiology2026

Modeling the effect of the number of presumptive colonies selected from agar plate on the recovery and prevalence of

Xiaohong Wei, Megan Gaa, Nicole Tng, Tracee Da Silva, Tianchen Shan, Jessica E Kim, Prachi Pandey, Xunde Li, Pramod K Pandey, Edward R Atwill

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Xiaohong WeiDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Megan GaaDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Nicole TngDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Tracee Da SilvaDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Tianchen ShanDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Jessica E KimDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Prachi PandeyDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Xunde LiDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Pramod K PandeyDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Edward R AtwillDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.

Funding

FDA HHS U19 FD004995
6 · The paper itself

Abstract

Background: Although various laboratory protocols exist for the detection of Shiga toxin-producing Objectives: Our study evaluated how the number of presumptive colonies selected for confirmation per fecal sample influences the probability to detect true positive samples, which when optimized can facilitate more accurate estimates of STEC prevalence in feces while simultaneously minimizing costs associated with confirming excessive numbers of colonies. Methods: An experimental trial was first conducted using inoculated concentrations of Results: The experimental trial comprised 126 spiked samples. Results showed that the high c Conclusion: In conclusion, given the large impact of colony selection totals on the Pr

Indexed as

dairy manurepositive predictive valuepresumptive coloniesprevalenceprobability to be true positiveSTEC

Identifiers

PMID42519698
PMCPMC13381634

What OpenQuestion holds

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LicenceCC BY
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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.