Evidence map›Paper›PMID 29321419›Full record

ArticleInternal medicine (Tokyo, Japan)2018

Useful Predictive Factors for Bacteremia among Outpatients with Pyelonephritis.

Nobuhiro Nakamura, Yuki Uehara, Sayato Fukui, Kazutoshi Fujibayashi, Hirohide Yokokawa, Toshio Naito

Open access · diamondAbstract read
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Article in Internal medicine (Tokyo, Japan), 2018. 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
0.5field-weighted citation impact, top 34% 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 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.

Nobuhiro NakamuraDepartment of General Medicine, Juntendo University Faculty of Medicine, Japan.
Yuki UeharaDepartment of General Medicine, Juntendo University Faculty of Medicine, Japan.
Sayato FukuiDepartment of General Medicine, Juntendo University Faculty of Medicine, Japan.
Kazutoshi FujibayashiDepartment of General Medicine, Juntendo University Faculty of Medicine, Japan.
Hirohide YokokawaDepartment of General Medicine, Juntendo University Faculty of Medicine, Japan.
Toshio NaitoDepartment of General Medicine, Juntendo University Faculty of Medicine, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective The aim of this study was to identify predictive factors for bacteremia conveniently and quickly among outpatients diagnosed with pyelonephritis. Patients All patients who were diagnosed with pyelonephritis at the outpatient clinic in the Department of General Medicine of Juntendo University Hospital from April 1, 2008, to June 30, 2015, were enrolled. Patients from whom blood cultures had not been taken were excluded. Methods Clinical information was extracted from medical charts. Factors potentially predictive of bacteremia were analyzed using a t-test and Fisher's exact test, followed by a multivariable logistic regression model analysis. Results Blood cultures were drawn from 116 patients, and 25 (22%) presented with bacteremia. A multivariate analysis with the age, chills, platelet count and urine nitrite test results revealed that older age, positive urinary nitrite test results and chills tended to be associated with bacteremia, respectively. [older age: unit odds ratio (OR) 1.02, p=0.052, 95% confidence interval (CI) 1.00-1.05, positive urinary nitrite test findings: OR 2.5, p=0.092, 95% CI 0.86-7.7, chills: OR 2.5, p=0.096, 95% CI 0.84-7.65]. The area under the receiver operating characteristic (ROC) curve of this model was 0.77. Regardless of age, positive urinary nitrite test findings were significantly associated with bacteremia (OR 3.1, p=0.033, 95% CI 1.1-9.2), and chills tended to be associated with bacteremia (OR 2.7, p=0.07, 95% CI 0.93-7.9) The area under the ROC curve of this model was 0.75. Conclusion Bacteremia should be considered in pyelonephritis patients with rapidly assessable factors in outpatient clinic. In particular, a model including a urinary nitrite test has the potential to aid in the prediction of bacteremia.

Indexed as

AdultAgedAge FactorsBacteremiaBlood CultureFemaleHumansMaleMiddle AgedMultivariate AnalysisNitritesOutpatientsPyelonephritisRetrospective StudiesROC CurveSensitivity and SpecificityNitritesbacteremiapyelonephritisurinary nitrite test

Identifiers

PMID29321419
PMCPMC5995696
OpenAlexW2783234763

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Registered trials

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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.