Evidence map›Paper›PMID 31712943›Full record

Observational studyClinical and experimental nephrology2020

Optimal bacterial colony counts for the diagnosis of upper urinary tract infections in infants.

Yuko Akagawa, Takahisa Kimata, Shohei Akagawa, Sadayuki Fujishiro, Shogo Kato, Sohsaku Yamanouchi, Shoji Tsuji, Minoru Kino, Kazunari Kaneko

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Clinical and experimental nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 1 institution in 1 country.

Yuko AkagawaDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Takahisa KimataDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Shohei AkagawaDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Sadayuki FujishiroDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Shogo KatoDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Sohsaku YamanouchiDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Shoji TsujiDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Minoru KinoDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan.
Kazunari KanekoDepartment of Pediatrics, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, Japan. kanekok@hirakata.kmu.ac.jp.
Kansai Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are no consensus criteria for diagnosing upper urinary tract infections (UTI). Therefore, we conducted a study to assess whether bacterial colony counts of ≥ 10

methodsThis retrospective observational study included 673 patients (<4 months of age) with urine samples obtained by catheterization for bacterial cultures. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were obtained when cutoff values of 10

resultsOf the 197 positive (≥ 10

conclusionUsing ≥ 10

Indexed as

Colony Count, MicrobialHumansInfantPredictive Value of TestsRetrospective StudiesUrinary Tract InfectionsBacterial colony countsInfantsUpper urinary tract infectionsUrinary tract infectionsVesicoureteral reflux

Identifiers

PMID31712943
OpenAlexW2985769732

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.