Evidence map›Paper›PMID 33776323›Full record

ReviewUrology annals

Applications of electromotive drug administration in urology.

Safiya Hashemi, Arun Sahai, Sachin Malde

Open access · goldAbstract readReview
In one paragraph

Review in Urology annals. 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
1.5field-weighted citation impact, top 17% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 1 institution in 1 country.

Safiya HashemiDepartment of Urology, Guy's Hospital, London, UK.
Arun SahaiDepartment of Urology, Guy's Hospital, London, UK.
Sachin MaldeDepartment of Urology, Guy's Hospital, London, UK.
Guy's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To review all published evidence regarding the use of Electromotive Drug Administration (EMDA) for the management of urological conditions, focusing on efficacy and safety, and highlighting areas that require further study. The PubMed and Medline databases were searched up to July 23, 2019. All studies reporting the use of EMDA to enhance the intravesical administration of therapeutic drugs for urological conditions were included. Two reviewers independently screened all articles, searched the reference lists of retrieved articles, and performed the data extraction. Thirty-two studies were included. The use of EMDA has been reported in the following urological conditions: (1) nonmuscle-invasive bladder cancer (NMIBC); (2) overactive bladder; (3) bladder pain syndrome; (4) radiation cystitis; (5) detrusor acontractility; and (6) for analgesia prior to transurethral procedures. Overall, most studies are nonrandomized trials with small numbers of patients. The use of EMDA is reported to be safe and effective in all these conditions, with the highest level of evidence in NMIBC in the neoadjuvant and adjuvant setting. However, the low overall quality of evidence limits the conclusions that can be reached. The use of EMDA to improve the efficacy of intravesical treatments is promising, but the low overall quality of the evidence base has limited its widespread use. Future studies should compare EMDA to passive diffusion and current standard of care in large, randomized, and long-term studies to determine the efficacy, safety, and cost-effectiveness of this modality.

Indexed as

Bladder cancerbladder pain syndromebotulinum toxinelectromotive drug administrationinterstitial cystitisoveractive bladder

Identifiers

PMID33776323
PMCPMC7992521
OpenAlexW3093818773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.