Evidence map›Paper›PMID 37424559›Full record

ArticleAccess microbiology2023

Evaluation of the diagnostic performance of the urine dipstick test for the detection of urinary tract infections in patients treated in Kenyan hospitals.

John Maina, John Mwaniki, Franklin Mwiti, Susan Kiiru, Japhet Katana, Fredrick Wanja, Joel Mukaya, Osborn Khasabuli, Benon Asiimwe, Stephen Gillespie and 6 more

Open access · goldAbstract read
In one paragraph

Article in Access microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 9 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

16 authors at 7 institutions in 5 countries.

John MainaKenya Medical Research Institute, Centre for Microbiology Research, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-9303-2663
John MwanikiKenya Medical Research Institute, Centre for Microbiology Research, Nairobi, Kenya.
Franklin MwitiKenya Medical Research Institute, Centre for Microbiology Research, Nairobi, Kenya.
Susan KiiruKenya Medical Research Institute, Centre for Microbiology Research, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-9369-1300
Japhet KatanaKenya Medical Research Institute, Centre for Microbiology Research, Nairobi, Kenya.
Fredrick WanjaJomo Kenyatta University of Agriculture and Technology, Juja, Kenya.
Joel MukayaKentyatta National Hospital, Nairobi, Kenya.
Osborn KhasabuliJomo Kenyatta University of Agriculture and Technology, Juja, Kenya.
Benon AsiimweMakerere University, Kampala, Uganda.
Stephen GillespieUniversity of St Andrews, School of Medicine, St Andrews, UK.ORCID https://orcid.org/0000-0001-6537-7712
John StellingDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Stephen MshanaCatholic University of Health and Allied Sciences, Mwanza, Tanzania.
Matthew HoldenUniversity of St Andrews, School of Medicine, St Andrews, UK.
Wilber SabiitiUniversity of St Andrews, School of Medicine, St Andrews, UK.
John KiiruKenya Medical Research Institute, Centre for Microbiology Research, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-0571-5190
HATUA consortium
Kenya Medical Research Institute · KEUniversity of St Andrews · GBJomo Kenyatta University of Agriculture and Technology · KEBrigham and Women's Hospital · USCatholic University of Health and Allied Sciences · TZKenyatta National Hospital · KEMakerere University · UG

Funding

Medical Research Council MR/S004785/1
6 · The paper itself

Abstract

Introduction: Culture is the gold-standard diagnosis for urinary tract infections (UTIs). However, most hospitals in low-resource countries lack adequately equipped laboratories and relevant expertise to perform culture and, therefore, rely heavily on dipstick tests for UTI diagnosis. Research gap: In many Kenyan hospitals, routine evaluations are rarely done to assess the accuracy of popular screening tests such as the dipstick test. As such, there is a substantial risk of misdiagnosis emanating from inaccuracy in proxy screening tests. This may result in misuse, under-use or over-use of antimicrobials. Aim: The present study aimed to assess the accuracy of the urine dipstick test as a proxy for the diagnosis of UTIs in selected Kenyan hospitals. Methods: A hospital-based cross-sectional method was used. The utility of dipstick in the diagnosis of UTIs was assessed using midstream urine against culture as the gold standard. Results: The dipstick test predicted 1416 positive UTIs, but only 1027 were confirmed positive by culture, translating to a prevalence of 54.1 %. The sensitivity of the dipstick test was better when leucocytes and nitrite tests were combined (63.1 %) than when the two tests were separate (62.6 and 50.7 %, respectively). Similarly, the two tests combined had a better positive predictive value (87.0 %) than either test alone. The nitrite test had the best specificity (89.8 %) and negative predictive value (97.4 %) than leucocytes esterase (L.E) or both tests combined. In addition, sensitivity in samples from inpatients (69.2 %) was higher than from outpatients (62.7 %). Furthermore, the dipstick test had a better sensitivity and positive predictive value among female (66.0 and 88.6 %) than male patients (44.3 and 73.9 %). Among the various patient age groups, the dipstick test's sensitivity and positive predictive value were exceptionally high in patients ≥75 years old (87.5 and 93.3 %). Conclusion: Discrepancies in prevalence from the urine dipstick test and culture, the gold standard, indicate dipstick test inadequacy for accurate UTI diagnosis. The finding also demonstrates the need for urine culture for accurate UTI diagnosis. However, considering it is not always possible to perform a culture, especially in low-resource settings, future studies are needed to combine specific UTI symptoms and dipstick results to assess possible increases in the test's sensitivity. There is also a need to develop readily available and affordable algorithms that can detect UTIs where culture is not available.

Indexed as

dipstick testleucocytes esterasenitritesurinary tract infectionsurine culture

Identifiers

PMID37424559
PMCPMC10323778
OpenAlexW4380684378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.