Evidence map›Paper›PMID 38464568›Full record

ArticleClinical case reports2024

Mixed treatment for same-severe mixed urinary incontinence: A novel method.

Daryoush Hamidi Alamdari, Armina Douzandeh, Maliheh Keshvari Shirvan, Behzad Narouie, Negar Radpour

Abstract readCase Reports
In one paragraph

Article in Clinical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. 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

5 authors.

Daryoush Hamidi AlamdariVascular and Endovascular Surgery Research Center Mashhad University of Medical Sciences Mashhad Iran.
Armina DouzandehDepartment of Health and Biomedicine Victoria University Melbourne Victoria Australia.
Maliheh Keshvari ShirvanDepartment of Urology Imam Reza Academic Hospital, Mashhad University of Medical Sciences Mashhad Iran.
Behzad NarouieDepartment of Urology Zahedan University of Medical Sciences Zahedan Iran.
Negar RadpourUrology and Nephrology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0009-0004-7399-6774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key Clinical Message: Innovative mixed treatment offers hope for persistent mixed urinary incontinence (MUI): PRP-Fibrin Glue-Stem Cell injection, Botox, and TVT in a single session. Successful case study reveals promising outcomes, emphasizing the need for further research. Abstract: Mixed urinary incontinence is a complaint of stress and urge incontinence which affects patients' quality of life and dramatic changes in patients' physical, mental, and socioeconomic status. The treatment is challenging and depends on the dominance of one of the complaints to the other. The progress in the method of treatment is still under discussion. This study reports treatment of a MUI case in a 56-year-old, with a history of MUI of 7-year duration, which was persistent to pharmacological treatment, pelvic muscle training, biofeedback, and anti-incontinence surgery (Burch Colposuspension). PRP-Fibrin Glue-Stem Cell injection, Botox injection, and TVT were performed in a one surgery session. Patient was discharged with ability to urinate with acceptable amount of post void residue. After 3-month follow-up, patient was completely satisfied and happy. Further research is needed to substantiate the efficacy of these mixed treatments for MUI.

Indexed as

novel treatmentplatelet‐rich plasmastem cellstreatment efficacyurinary incontinence

Identifiers

PMID38464568
PMCPMC10920305

What OpenQuestion holds

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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.