Evidence map›Paper›PMID 29696457›Full record

ArticleIndian journal of pediatrics2018

Urine Flow Cytometry in the Diagnosis of Urinary Tract Infection.

Seçil Conkar, Sevgi Mir

Abstract read
PubMed Publisher
In one paragraph

Article in Indian journal of pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Seçil ConkarDepartment of Pediatric Nephrology, Ege University Faculty of Medicine, 3500, İzmir, Turkey. secilcankar@yahoo.com.tr.
Sevgi MirDepartment of Pediatric Nephrology, Ege University Faculty of Medicine, 3500, İzmir, Turkey.
Ege University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the cut-off value of bacteria with urine flow cytometer in diagnosing urinary tract infection.

methodsFrom a total of 546 patients admitted to the hospital with urinary tract infection (UTI), two urine samples were obtained for each patient. Urine samples in sterile containers were divided into two; first for urine culture and second for simultaneous measurement with UF-1000i flow cytometry device. The presence of a single type of bacteria over 10

resultsOf 546 patients, 210 (38.5%) were boys and 336 (61.5%) were girls. There was no growth in 489 (89.5%) of the urine specimens and 57 (10.4%) samples showed growth (>10

conclusionsThe UF-1000i flow cytometer can give results quickly and exclude UTI using the determined number of cut-off bacteria at low cost. Thus, if Sysmex UF-1000i is used, quick and accurate results can be obtained and unnecessary laboratory tests can be prevented. Also, patient convenience can be increased.

Indexed as

Bacteriological TechniquesAdolescentBacterial LoadChildChild, PreschoolFemaleFlow CytometryHumansMaleMicroscopyProspective StudiesReagent StripsReproducibility of ResultsUrinary Tract InfectionsUrineReagent StripsChildFlow cytometryUrinary tract infections

Identifiers

PMID29696457
OpenAlexW2801023509

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.