Evidence map›Paper›PMID 18400919›Full record

ArticleJournal of clinical microbiology2008

Evaluation of three automated nucleic acid amplification systems for detection of Chlamydia trachomatis and Neisseria gonorrhoeae in first-void urine specimens.

P N Levett, K Brandt, K Olenius, C Brown, K Montgomery, G B Horsman

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01234103 (Preventing Health Damaging Behaviors in Male and Female Army Recruits), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.7field-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.

NCT01234103 naterminatednot on this mapstarted 2010, after this paper: background citation

Preventing Health Damaging Behaviors in Male and Female Army Recruits

TypeinterventionalSponsorUnited States Department of DefenseRan2010 to 2013Enrolled933ConditionsSexually Transmitted Infection (STI) Prevention, Unintended Pregnancy Prevention, Sexual Risk Reduction, Alcohol and Other Substance Use PreventionArmsPreventing Helath Damaging Health Behaviors in Male and Female Army Recruits
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 58 citations in OpenAlex.

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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 at 1 institution in 1 country.

P N LevettSaskatchewan Disease Control Laboratory, 3211 Albert Street, Regina, Saskatchewan S4S 5W6, Canada. plevett@health.gov.sk.ca
K Brandt
K Olenius
C Brown
K Montgomery
G B Horsman
Saskatchewan Disease Control Laboratory · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 500 first-void urine specimens were tested for the presence of Chlamydia trachomatis and Neisseria gonorrhoeae nucleic acids using ProbeTec ET reagents on a Viper platform (BD Diagnostics, Mississauga, Ontario, Canada), Aptima Combo 2 reagents on a Tigris platform (Gen-Probe, Inc., San Diego, CA), and Abbott RealTime CT/NG reagents on an m2000 platform (Abbott Molecular Diagnostics, Des Plaines, IL). The performance of the three assays for detection of N. gonorrhoeae was comparable, but detection of C. trachomatis by the three assays showed more variation. All three platforms were suitable for the detection of C. trachomatis and N. gonorrhoeae, but additional factors, such as maximum daily specimen throughput, are important in evaluating automated systems for C. trachomatis and N. gonorrhoeae detection in high-volume laboratories.

Indexed as

Reagent Kits, DiagnosticAutomationChlamydia InfectionsChlamydia trachomatisGonorrheaHumansNeisseria gonorrhoeaeNucleic Acid Amplification TechniquesSpecimen HandlingUrineReagent Kits, Diagnostic

Identifiers

PMID18400919
PMCPMC2446831
OpenAlexW2159466554

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.