Evidence map›Paper›PMID 36289427›Full record

SynthesisScientific reports2022

Efficacy, according to urodynamics, of OnabotulinumtoxinA compared with antimuscarinic drugs, for neurogenic detrusor overactivity: a systematic review and network meta-analysis.

Rui Xu, Tong-Xin Yang, Ke-Wei Fang, Guang Wang, Pei Li

Open access · goldAbstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Rui XuThe Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Tong-Xin YangThe Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China. yangtongxin@kmmu.edu.cn.ORCID 0000-0003-4363-1833
Ke-Wei FangThe Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Guang WangThe Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Pei LiThe Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To summarize the differences in urodynamic outcomes between oral antimuscarinic drugs and OnabotulinumtoxinA, and finding a therapy that maintains good urodynamics in neurogenic detrusor overactivity (NDO). We conducted a literature search of EMBASE and PubMed, with the language limited to English. In the analysis, all of the published randomized trials of OnabotulinumtoxinA or antimuscarinic drugs used to treat NDO were found and the results were finally obtained through Bayesian model analysis. A total of 12 RCTs and 2208 patients were included. OnabotulinumtoxinA 300U was superior to other drugs in terms of MCC, volume at IDC, and Pdet

Indexed as

Botulinum Toxins, Type AUrinary Bladder, NeurogenicUrinary Bladder, OveractiveBayes TheoremHumansMuscarinic AntagonistsSolifenacin SuccinateTolterodine TartrateTreatment OutcomeUrodynamicsBotulinum Toxins, Type AMuscarinic AntagonistsSolifenacin SuccinateTolterodine Tartrate

Identifiers

PMID36289427
PMCPMC9606369
OpenAlexW4307567148

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.