Evidence map›Paper›PMID 35136474›Full record

ArticleThe Pan African medical journal2021

[Time series: pathologic determinants of cytobiochemical urinalysis and urinary infections at the University Clinics in Kinshasa].

Jacques Bikaula Ngwidiwo, Mireille Solange Nganga Nkanga, Vandersal Salaboni Munzengi, Eugène Epombo, Yvon Wangi Ngoy, Héritier Mawalala Malengele, Etienne Mokondjimobe, Benjamin Longo Mbenza

Abstract read
In one paragraph

Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Descriptive Epidemiology ofBioMed research international · 2025
    Pooled it
  2. 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

8 authors.

Jacques Bikaula NgwidiwoDepartment of Medical Biology, Kinshasa University Clinics, Faculty of Medicine, Kinshasa, Democratic Republic of Congo.
Mireille Solange Nganga NkangaDepartment of Medical Biology, Kinshasa University Clinics, Faculty of Medicine, Kinshasa, Democratic Republic of Congo.
Vandersal Salaboni MunzengiDepartment of Medical Biology, Kinshasa University Clinics, Faculty of Medicine, Kinshasa, Democratic Republic of Congo.
Eugène EpomboDepartment of Medical Biology, Kinshasa University Clinics, Faculty of Medicine, Kinshasa, Democratic Republic of Congo.
Yvon Wangi NgoyDepartment of Medical Biology, Kinshasa University Clinics, Faculty of Medicine, Kinshasa, Democratic Republic of Congo.
Héritier Mawalala MalengeleLomo University of Research, Kinshasa, Democratic Republic of Congo.
Etienne MokondjimobeLomo University of Research, Kinshasa, Democratic Republic of Congo.
Benjamin Longo MbenzaDepartment of Medical Biology, Kinshasa University Clinics, Faculty of Medicine, Kinshasa, Democratic Republic of Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductioncytobiochemical analysis of urine samples is the most requested complementary laboratory tool along with blood count. It has high predictive value in patients with urinary tract infections when it is properly done and scrupulously interpreted. The purpose of this study was to assess the rate, progression, determinants and cytobiochemical comorbidities of urinary tract infections.

methodswe conducted a documentary, descriptive, analytical and comparative study of patients referred for cytobiochemical examinations of urine to the laboratories of the University Clinics in Kinshasa (UCK) between 2011 and 2014.

resultsa total of 8926 cytobiochemical tests were requested, with less than 2% of biochemical tests. The study involved more women than men (6426 women vs 2500 men), with a sex ratio of 3F: 1M. Cytobiochemical tests were more requested in the 30-39-year age group (17%; n=1517) mand during the rainy seasons 72% (n=3511), with a peak in May. Urinary tract infections accounted for 54,8% [adjusted estimates n=4892 including E. coli (n=1937), Klebsiella (n=993)] and were mainly diagnosed over the period 2012-2014. There was an independent and significant association between female sex (adjusted OR = 3.5; CI = 95%; 3.1-3.8; P<0.0001), admission during the rainy seasons (adjusted OR = 1.3; CI = 95%; 1.2-1.4; P<0.0001) and urinary tract infection.

conclusionurinary tract infection was a major concern for female patients admitted during the rainy seasons and over the years 2012-2014 at the UCK. Urinary tract infections were rare over the Nina year 2011 after the hottest El Nino year, while the rate of urinary tract infections was the same over the years 2012-2014, which were relatively hot before the the hottest El Nino year 2015. This study highlights that there is an interaction between the hot and humid tropical climatic conditions of the city of Kinshasa and the global cold climate, in the context of climate variability, global warming, which may explain the outbreak of urinary infections in Kinshasa.

Indexed as

UrinalysisUrinary Tract InfectionsDemocratic Republic of the CongoEscherichia coliFemaleHumansMaleTime FactorsUniversitiesCytobiochemical testsfemale sexrainy seasonsurinary tract infection

Identifiers

PMID35136474
PMCPMC8783306

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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.