Evidence map›Paper›PMID 36172491›Full record

ArticleTherapeutic advances in urology

Antimuscarinics for neurogenic overactive bladder in multiple sclerosis: real-life data.

Elena Andretta, Enrico Finazzi Agrò, Massimiliano Calabrese, Luca Orecchia, Antonietta Furlan, Cristina Zuliani

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  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

6 authors at 4 institutions in 1 country.

Elena AndrettaDepartment of Urology, General Hospital, Dolo (Venice), Italy.
Enrico Finazzi AgròDepartment of Surgical Sciences, University of Rome Tor Vergata, Via Montpellier, 1, 00133 Rome, Italy.ORCID https://orcid.org/0000-0002-0308-8824
Massimiliano CalabreseDepartment of Neuroscience, Biomedicine and Movements, University of Verona, Verona, Italy.
Luca OrecchiaUrology Unit, Policlinico Tor Vergata Foundation, Rome, Italy.ORCID https://orcid.org/0000-0001-8376-5380
Antonietta FurlanDepartment of Rehabilitation, General Hospital, Dolo (Venice), Italy.
Cristina ZulianiDepartment of Neurology, General Hospital, Mirano (Venice), Italy.
Ospedale di Mirano · ITPoliclinico Tor Vergata · ITUniversity of Rome Tor Vergata · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimuscarinics (AMs) represent the mainstay of treatment for storage lower urinary tract symptoms (LUTS) but few data are available on their impact in multiple sclerosis (MS) patients. Objective: To assess effectiveness and tolerability of AMs in MS patients with neurogenic detrusor overactivity (NDO). Methods: Sixty consecutive outpatients, who started treatment with AMs at one centre, were recruited. The primary endpoint was change in Patient's Perception of Intensity of Urgency Scale (PPIUS) at 6 months; secondary endpoints were post-void residual urine (PVR) and pads used daily. Incidence and severity of adverse events (AEs) were recorded. Results: Significant reduction ( Conclusion: This study suggests that AMs are effective in MS patients, but their use should be tailored on every patient as even low dosages can be poorly tolerated. AEs, including neurological ones, are common.

Indexed as

antimuscarinicslower urinary tract symptomsmultiple sclerosisneurogenic detrusor overactivityurgency urinary incontinence

Identifiers

PMID36172491
PMCPMC9510970
OpenAlexW4297921976

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.