Evidence map›Paper›PMID 38205389›Full record

ArticleArab journal of urology2024

Linguistic translation and validation of the Arabic version of International Female Coital Incontinence Questionnaire (IFCI-Q).

Wally Mahfouz, Ahmed Moussa, Maurizio Serati, Matteo Balzarro, Emanuele Rubilotta, Marilena Gubbiotti

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Article in Arab journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 77% 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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Wally MahfouzUrology Department, Alexandria University, Alexandria, Egypt.
Ahmed MoussaUrology Department, Alexandria University, Alexandria, Egypt.
Maurizio SeratiDepartment of Obstetrics and Gynecology, University of Insubria, Varese, Italy.
Matteo BalzarroUrology Department, A.O.U.I. Verona University, Italy.
Emanuele RubilottaUrology Department, A.O.U.I. Verona University, Italy.
Marilena GubbiottiUrology Department, San Donato Hospital, Arezzo, Italy.ORCID https://orcid.org/0000-0002-3486-1226
Alexandria University · EGUniversity of Verona · ITOspedale San Donato · ITUniversity of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Aim of the study was to translate the International Female Coital Incontinence Questionnaire (IFCI-Q) into Arabic (Egyptian) and validate it into among Egyptian population complaining of coital urinary incontinence (CI). Methods: Original questionnaire has been translated and back-translated by an expert panel, to produce the Arabic version. A pilot study was performed to make sure the questionnaire was understandable. Sixty patients included in the study were divided into two groups: Group A comprised patients with CI, and Group B comprised females who attended the urology clinic for other complaints, without CI. Reliability of the Arabic IFCI-Q was evaluated for internal consistency using Cronbach alpha coefficient. Test-retest reliability was determined using the Weighted Cohen's k-test. Discrimination validity was evaluated by comparing scores of patients with those of healthy females not complaining of CI using Mann-Whitney test. Results: 83.3% of women of both groups (mean age: 43.1 ± 10.6 yrs [Group A], 38.9 ± 8 [Group B] yrs) reported OAB symptoms, 73.3% had stress urinary incontinence and 46.7% reported mixed urinary incontinence. Regarding Group A, 10 patients had CI during penetration, 12 during orgasm and 8 had both forms of CI. The comparison of the responses between Group A and Group B demonstrated a statistically difference ( Conclusions: The Arabic version will allow utilizing this tool in a large population of Arabic-speaking countries, with different ethnic and demographic backgrounds.

Indexed as

Coital urinary incontinenceIFCI-Qlinguistic translation validated questionnaire

Identifiers

PMID38205389
PMCPMC10776051
OpenAlexW4385456833

What OpenQuestion holds

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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.