Evidence map›Paper›PMID 29686988›Full record

ArticleFrontiers in medicine2018

Validation and Search of the Ideal Cut-Off of the Sysmex UF-1000i

María I Millán-Lou, Juan M García-Lechuz, María A Ruiz-Andrés, Concepción López, María J Aldea, María J Revillo, Antonio Rezusta

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. [Evaluation of Sysmex UF-1000i® flow cytometer as a screening method for asymptomatic bacteriuria and detection of Group B Streptococcus in pregnancy].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2020
    Article
  4. Article
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

7 authors at 2 institutions in 1 country.

María I Millán-LouServicio de Microbiología, Hospital Universitario Miguel-Servet, Zaragoza, Spain.
Juan M García-LechuzServicio de Microbiología, Hospital Universitario Miguel-Servet, Zaragoza, Spain.
María A Ruiz-AndrésServicio de Microbiología, Hospital Universitario Miguel-Servet, Zaragoza, Spain.
Concepción LópezServicio de Microbiología, Hospital Universitario Miguel-Servet, Zaragoza, Spain.
María J AldeaServicio de Microbiología, Hospital Universitario Miguel-Servet, Zaragoza, Spain.
María J RevilloServicio de Microbiología, Hospital Universitario Miguel-Servet, Zaragoza, Spain.
Antonio RezustaServicio de Microbiología, Hospital Universitario Miguel-Servet, Zaragoza, Spain.
Hospital Universitario Miguel Servet · ESUniversidad de Zaragoza · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections (UTI) are one of the most prevalent infections. A rapid and reliable screening method is useful to screen out negative samples. The objective of this study was to validate the Sysmex flow cytometer UF-1000i by evaluating its accuracy, linearity and carry-over; and define an optimal cut-off value to be used in routine practice in our hospital. For the validation of the UF-1000i cytometer, precision, linearity and carry-over were studied in samples with different counts of bacteria, leukocytes and erythrocytes. Between March and June 2016, urine samples were tested in the Clinical Microbiology Laboratory at University Miguel Servet Hospital, in Spain. Samples were analyzed with the Sysmex UF-1000i cytometer, and cultured. Growth of ≥10

Indexed as

bacteriacut-offflow cytometerleukocytesUF-1000iurinary tract infectionvalidation

Identifiers

PMID29686988
PMCPMC5900046
OpenAlexW2797514424

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.