Evidence map›Paper›PMID 35233359›Full record

ArticleTzu chi medical journal

Risk of urinary tract infection symptoms recurrence in women: A prospective observational study.

Yi-Sheng Chen, Stephen Shei-Dei Yang, Chun-Chun Yang, Shang-Jen Chang

Open access · diamondAbstract read
In one paragraph

Article in Tzu chi medical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 83% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Yi-Sheng ChenDivision of Urology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.
Stephen Shei-Dei YangDivision of Urology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.
Chun-Chun YangDepartment of General Laboratory, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.
Shang-Jen ChangDivision of Urology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan.
Taipei Tzu Chi Hospital · TWTzu Chi University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUrinary tract infection (UTI) symptoms recurrence is common with estimated rate of 30%-50% within 1 year. The study aimed to evaluate the potential risk factors for symptoms UTI recurrence in women at outpatient clinic in a prospective fashion. MATERIALS AND

methodsThis study was conducted from July 1, 2016, to June 30, 2019. Women who visited urological clinics with symptoms suggestive of UTI were invited to fill the questionnaire including baseline characteristics and Urinary Tract Infection Symptom Assessment questionnaire. Mid-stream urine samples of the participants were collected for urine analysis and urine culture. Phone interviews were done at 12 months' postclinic visit to inquire if the participants have any episode of UTI symptoms recurrence during the period of time.

resultsAmong the 188 eligible patients, 183 patients (age = 50.0 ± 15.3 years old) were included in the analysis. There were 44 (24%) participants had UTI symptoms recurrent episodes during the 12-month follow-up. Further multivariate analysis revealed that menopause (odds ratio [OR] = 4.89, 95% confidence interval [CI] = 1.63-14.68,

conclusionMenopause, history of UTI-related symptoms within 1 year before this episode of UTI and

Indexed as

DiagnosisLaser flow cytometryRecurrenceUrinary tract infectionWomen

Identifiers

PMID35233359
PMCPMC8830550
OpenAlexW3204435574

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.